-
Notifications
You must be signed in to change notification settings - Fork 357
/
refs.bib
726 lines (652 loc) · 22.3 KB
/
refs.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
% Encoding: UTF-8
@Book{bishop2006pattern,
title = {Pattern recognition and machine learning},
publisher = {Springer},
year = {2006},
author = {Bishop, Christopher M},
}
@InProceedings{arthur2007k,
author = {Arthur, David and Vassilvitskii, Sergei},
title = {K-means++: The advantages of careful seeding},
booktitle = {Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms},
year = {2007},
pages = {1027--1035},
organization = {Society for Industrial and Applied Mathematics},
}
@article{khan2004cluster,
title={Cluster center initialization algorithm for K-means clustering},
author={Khan, Shehroz S and Ahmad, Amir},
journal={Pattern recognition letters},
volume={25},
number={11},
pages={1293--1302},
year={2004},
publisher={Elsevier}
}
@article{bahmani2012scalable,
title={Scalable k-means++},
author={Bahmani, Bahman and Moseley, Benjamin and Vattani, Andrea and Kumar, Ravi and Vassilvitskii, Sergei},
journal={Proceedings of the VLDB Endowment},
volume={5},
number={7},
pages={622--633},
year={2012},
publisher={VLDB Endowment}
}
@article{reynolds2015gaussian,
title={Gaussian mixture models},
author={Reynolds, Douglas},
journal={Encyclopedia of biometrics},
pages={827--832},
year={2015},
publisher={Springer}
}
@Article{lecun2010mnist,
author = {LeCun, Yann and Cortes, Corinna and Burges, Christopher JC},
title = {MNIST handwritten digit database},
journal = {AT\&T Labs [Online]. Available: http://yann. lecun. com/exdb/mnist},
year = {2010},
volume = {2},
}
@article{blei2008hierarchical,
title={Hierarchical clustering},
author={Blei, David M},
year={2008}
}
@article{aha1991instance,
title={Instance-based learning algorithms},
author={Aha, David W and Kibler, Dennis and Albert, Marc K},
journal={Machine learning},
volume={6},
number={1},
pages={37--66},
year={1991},
publisher={Springer}
}
@article{johnson2017billion,
title={Billion-scale similarity search with GPUs},
author={Johnson, Jeff and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
journal={arXiv preprint arXiv:1702.08734},
year={2017}
}
@InProceedings{arya1993algorithms,
author = {Arya, Sunil and Mount, David M},
title = {Algorithms for fast vector quantization},
booktitle = {Data Compression Conference},
year = {1993},
pages = {381--390},
organization = {IEEE},
}
@InProceedings{lazebnik2006beyond,
author = {Lazebnik, Svetlana and Schmid, Cordelia and Ponce, Jean},
title = {Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2006},
volume = {2},
pages = {2169--2178},
}
@Article{jegou2011product,
author = {Jegou, Herve and Douze, Matthijs and Schmid, Cordelia},
title = {Product quantization for nearest neighbor search},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2011},
volume = {33},
number = {1},
pages = {117--128},
publisher = {IEEE},
}
@InProceedings{norouzi2013cartesian,
author = {Norouzi, Mohammad and Fleet, David J},
title = {Cartesian K-means},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2013},
pages = {3017--3024},
}
@InProceedings{zhang2014composite,
author = {Zhang, Ting and Du, Chao and Wang, Jingdong},
title = {Composite Quantization for Approximate Nearest Neighbor Search},
booktitle = {International Conference on Machine Learning},
year = {2014},
number = {2},
pages = {838--846},
}
@InProceedings{babenko2014additive,
author = {Babenko, Artem and Lempitsky, Victor},
title = {Additive quantization for extreme vector compression},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2014},
pages = {931--938},
}
@misc{nesterov2007gradient,
title={Gradient methods for minimizing composite objective function},
author={Nesterov, Yurii},
year={2007},
publisher={Core Louvain-la-Neuve}
}
@article{duchi2011adaptive,
title={Adaptive subgradient methods for online learning and stochastic optimization},
author={Duchi, John and Hazan, Elad and Singer, Yoram},
journal={Journal of Machine Learning Research},
volume={12},
number={Jul},
pages={2121--2159},
year={2011}
}
@article{ruder2016overview,
title={An overview of gradient descent optimization algorithms},
author={Ruder, Sebastian},
journal={arXiv preprint arXiv:1609.04747},
year={2016}
}
@article{tieleman2012lecture,
title={Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude},
author={Tieleman, Tijmen and Hinton, Geoffrey},
journal={COURSERA: Neural networks for machine learning},
volume={4},
number={2},
pages={26--31},
year={2012}
}
@article{kingma2014adam,
title={Adam: A method for stochastic optimization},
author={Kingma, Diederik and Ba, Jimmy},
journal={arXiv preprint arXiv:1412.6980},
year={2014}
}
@article{rosemblat1957perceptron,
title={The perceptron: A perceiving and recognizing automation},
author={Rosemblat, F},
journal={Cornell Aeronautical Laboratory Report},
year={1957}
}
@InProceedings{krizhevsky2012imagenet,
author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
title = {Imagenet classification with deep convolutional neural networks},
booktitle = {Advances in Neural Information Processing Systems},
year = {2012},
pages = {1097--1105},
}
@article{xu2015empirical,
title={Empirical evaluation of rectified activations in convolutional network},
author={Xu, Bing and Wang, Naiyan and Chen, Tianqi and Li, Mu},
journal={arXiv preprint arXiv:1505.00853},
year={2015}
}
@article{cybenko1989approximation,
title={Approximation by superpositions of a sigmoidal function},
author={Cybenko, George},
journal={Mathematics of Control, Signals, and Systems (MCSS)},
volume={2},
number={4},
pages={303--314},
year={1989},
publisher={Springer}
}
@book{boyd2004convex,
title={Convex optimization},
author={Boyd, Stephen and Vandenberghe, Lieven},
year={2004},
publisher={Cambridge university press}
}
@InProceedings{zeng2008fast,
author = {Zeng, Zhi-Qiang and Yu, Hong-Bin and Xu, Hua-Rong and Xie, Yan-Qi and Gao, Ji},
title = {Fast training Support Vector Machines using parallel sequential minimal optimization},
booktitle = {International Conference on Intelligent System and Knowledge Engineering},
year = {2008},
volume = {1},
pages = {997--1001},
organization = {IEEE},
}
@article{platt1998sequential,
title={Sequential minimal optimization: A fast algorithm for training support vector machines},
author={Platt, John},
year={1998}
}
@article{scholkopf2000new,
title={New support vector algorithms},
author={Sch{\"o}lkopf, Bernhard and Smola, Alex J and Williamson, Robert C and Bartlett, Peter L},
journal={Neural computation},
volume={12},
number={5},
pages={1207--1245},
year={2000},
publisher={MIT Press}
}
@article{bennett1992robust,
title={Robust linear programming discrimination of two linearly inseparable sets},
author={Bennett, Kristin P and Mangasarian, Olvi L},
journal={Optimization methods and software},
volume={1},
number={1},
pages={23--34},
year={1992},
publisher={Taylor \& Francis}
}
@article{rosasco2004loss,
title={Are loss functions all the same?},
author={Rosasco, Lorenzo and De Vito, Ernesto and Caponnetto, Andrea and Piana, Michele and Verri, Alessandro},
journal={Neural Computation},
volume={16},
number={5},
pages={1063--1076},
year={2004},
publisher={MIT Press}
}
@incollection{schafer2007collaborative,
title={Collaborative filtering recommender systems},
author={Schafer, J Ben and Frankowski, Dan and Herlocker, Jon and Sen, Shilad},
booktitle={The adaptive web},
pages={291--324},
year={2007},
publisher={Springer}
}
@article{ekstrand2011collaborative,
title={Collaborative filtering recommender systems},
author={Ekstrand, Michael D and Riedl, John T and Konstan, Joseph A and others},
journal={Foundations and Trends{\textregistered} in Human--Computer Interaction},
volume={4},
number={2},
pages={81--173},
year={2011},
publisher={Now Publishers, Inc.}
}
@article{koren2009matrix,
title={Matrix factorization techniques for recommender systems},
author={Koren, Yehuda and Bell, Robert and Volinsky, Chris},
journal={Computer},
volume={42},
number={8},
year={2009},
publisher={IEEE}
}
@inproceedings{zhang2006learning,
title={Learning from incomplete ratings using non-negative matrix factorization},
author={Zhang, Sheng and Wang, Weihong and Ford, James and Makedon, Fillia},
booktitle={Proceedings of the 2006 SIAM International Conference on Data Mining},
pages={549--553},
year={2006},
organization={SIAM}
}
@inproceedings{vinagre2014fast,
title={Fast incremental matrix factorization for recommendation with positive-only feedback},
author={Vinagre, Jo{\~a}o and Jorge, Al{\'\i}pio M{\'a}rio and Gama, Jo{\~a}o},
booktitle={International Conference on User Modeling, Adaptation, and Personalization},
pages={459--470},
year={2014},
organization={Springer}
}
@inproceedings{paterek2007improving,
title={Improving regularized singular value decomposition for collaborative filtering},
author={Paterek, Arkadiusz},
booktitle={Proceedings of KDD cup and workshop},
volume={2007},
pages={5--8},
year={2007}
}
@inproceedings{sarwar2002incremental,
title={Incremental singular value decomposition algorithms for highly scalable recommender systems},
author={Sarwar, Badrul and Karypis, George and Konstan, Joseph and Riedl, John},
booktitle={Fifth International Conference on Computer and Information Science},
pages={27--28},
year={2002},
organization={Citeseer}
}
@article{golub1970singular,
title={Singular value decomposition and least squares solutions},
author={Golub, Gene H and Reinsch, Christian},
journal={Numerische mathematik},
volume={14},
number={5},
pages={403--420},
year={1970},
publisher={Springer}
}
@techreport{sarwar2000application,
title={Application of dimensionality reduction in recommender system-a case study},
author={Sarwar, Badrul and Karypis, George and Konstan, Joseph and Riedl, John},
year={2000},
institution={Minnesota Univ Minneapolis Dept of Computer Science}
}
@book{hansen2006deblurring,
title={Deblurring images: matrices, spectra, and filtering},
author={Hansen, Per Christian and Nagy, James G and O'leary, Dianne P},
year={2006},
publisher={SIAM}
}
@article{drineas2004clustering,
title={Clustering large graphs via the singular value decomposition},
author={Drineas, Petros and Frieze, Alan and Kannan, Ravi and Vempala, Santosh and Vinay, V},
journal={Machine learning},
volume={56},
number={1},
pages={9--33},
year={2004},
publisher={Springer}
}
@techreport{shyu2003novel,
title={A novel anomaly detection scheme based on principal component classifier},
author={Shyu, Mei-Ling and Chen, Shu-Ching and Sarinnapakorn, Kanoksri and Chang, LiWu},
year={2003},
institution={MIAMI UNIV CORAL GABLES FL DEPT OF ELECTRICAL AND COMPUTER ENGINEERING}
}
@article{hodge2004survey,
title={A survey of outlier detection methodologies},
author={Hodge, Victoria and Austin, Jim},
journal={Artificial intelligence review},
volume={22},
number={2},
pages={85--126},
year={2004},
publisher={Springer}
}
@inproceedings{lakhina2004diagnosing,
title={Diagnosing network-wide traffic anomalies},
author={Lakhina, Anukool and Crovella, Mark and Diot, Christophe},
booktitle={ACM SIGCOMM Computer Communication Review},
volume={34},
number={4},
pages={219--230},
year={2004},
organization={ACM}
}
@article{zhao2006novel,
title={A novel incremental principal component analysis and its application for face recognition},
author={Zhao, Haitao and Yuen, Pong Chi and Kwok, James T},
journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
volume={36},
number={4},
pages={873--886},
year={2006},
publisher={IEEE}
}
@InProceedings{d2005direct,
author = {d'Aspremont, Alexandre and Ghaoui, Laurent E and Jordan, Michael I and Lanckriet, Gert R},
title = {A direct formulation for sparse PCA using semidefinite programming},
booktitle = {Advances in Neural Information Processing Systems},
year = {2005},
pages = {41--48},
}
@InProceedings{mika1999kernel,
author = {Mika, Sebastian and Sch{\"o}lkopf, Bernhard and Smola, Alex J and M{\"u}ller, Klaus-Robert and Scholz, Matthias and R{\"a}tsch, Gunnar},
title = {Kernel PCA and de-noising in feature spaces},
booktitle = {Advances in Neural Information Processing Systems},
year = {1999},
pages = {536--542},
}
@article{candes2011robust,
title={Robust principal component analysis?},
author={Cand{\`e}s, Emmanuel J and Li, Xiaodong and Ma, Yi and Wright, John},
journal={Journal of the ACM (JACM)},
volume={58},
number={3},
pages={11},
year={2011},
publisher={ACM}
}
@book{fukunaga2013introduction,
title={Introduction to statistical pattern recognition},
author={Fukunaga, Keinosuke},
year={2013},
publisher={Academic press}
}
@article{vu2016fast,
CTLdash_repeated_names = "no",
title={Fast Low-rank Shared Dictionary Learning for Image Classification},
author={Vu, Tiep and Monga, Vishal},
journal={IEEE Transactions on Image Processing},
year={2017},
volume={26},
number={11},
pages={5160-5175},
keywords={image classification;signal processing;Fisher discrimination dictionary learning;fast low-rank shared dictionary learning;image classification;image data sets;Algorithm design and analysis;Complexity theory;Dictionaries;Image processing;Learning systems;Sparse matrices;Training;Sparse coding;dictionary learning;low-rank models;object classification;shared features},
doi={10.1109/TIP.2017.2729885},
ISSN={1057-7149},
month={Nov}
}
@InProceedings{vu2016learning,
author = {Vu, Tiep and Monga, Vishal},
title = {Learning a low-rank shared dictionary for object classification},
booktitle = {Proceedings IEEE International Conference on Image Processing},
year = {2016},
pages = {4428--4432},
organization = {IEEE},
}
@InProceedings{Meng2011FDDL,
author = {M. Yang and L. Zhang and X. Feng and D. Zhang},
title = {Fisher Discrimination Dictionary Learning for sparse representation},
booktitle = {Proceedings IEEE International Conference on Computer Vision},
year = {2011},
pages = {543--550},
month = {Nov.},
}
@book{friedman2001elements,
title={The elements of statistical learning},
author={Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert},
volume={1},
year={2001},
publisher={Springer series in statistics New York}
}
@Book{abu2012learning,
title = {Learning from data},
publisher = {AMLBook New York, NY, USA:},
year = {2012},
author = {Abu-Mostafa, Yaser S and Magdon-Ismail, Malik and Lin, Hsuan-Tien},
volume = {4},
}
@article{lecun2015deep,
title={Deep learning},
author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
journal={Nature},
volume={521},
number={7553},
pages={436--444},
year={2015},
publisher={Nature Research}
}
@book{Goodfellow-et-al-2016,
title={Deep Learning},
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
publisher={MIT Press},
note={\url{http://www.deeplearningbook.org}},
year={2016}
}
@book{prince2012computer,
title={Computer vision: models, learning, and inference},
author={Prince, Simon JD},
year={2012},
publisher={Cambridge University Press}
}
@misc{mitchell1997machine,
title={Machine learning. WCB},
author={Mitchell, Tom M and others},
year={1997},
publisher={McGraw-Hill Boston, MA:}
}
@InProceedings{krogh1992simple,
author = {Krogh, Anders and Hertz, John A},
title = {A simple weight decay can improve generalization},
booktitle = {Advances in Neural Information Processing Systems},
year = {1992},
pages = {950--957},
}
@Article{srivastava2014dropout,
author = {Srivastava, Nitish and Hinton, Geoffrey E and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
title = {Dropout: a simple way to prevent neural networks from overfitting.},
journal = {Journal of {M}achine {L}earning {R}esearch},
year = {2014},
volume = {15},
number = {1},
pages = {1929--1958},
}
@article{salton1975vector,
author={Salton, Gerard and Wong, Anita and Yang, Chung-Shu},
journal={Communications of the ACM},
title={A vector space model for automatic indexing},
volume={18},
number={11},
pages={613--620},
year={1975},
publisher={ACM}
}
@InProceedings{lowe1999object,
author = {Lowe, David G},
title = {Object recognition from local scale-invariant features},
booktitle = {Proceedings IEEE International Conference on Computer Vision},
year = {1999},
volume = {2},
pages = {1150--1157},
organization = {IEEE},
}
@Article{bay2006surf,
author = {Bay, Herbert and Tuytelaars, Tinne and Van Gool, Luc},
title = {S{U}{R}{F}: Speeded {U}p {R}obust {F}eatures},
journal = {Proceedings IEEE European Conference on Computer Vision},
year = {2006},
pages = {404--417},
publisher = {Springer},
}
@InProceedings{dalal2005histograms,
author = {Dalal, Navneet and Triggs, Bill},
title = {Histograms of oriented gradients for human detection},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2005},
volume = {1},
pages = {886--893},
organization = {IEEE},
}
@article{ahonen2006face,
title={Face description with local binary patterns: Application to face recognition},
author={Ahonen, Timo and Hadid, Abdenour and Pietikainen, Matti},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={28},
number={12},
pages={2037--2041},
year={2006},
publisher={IEEE}
}
@article{wright2009robust,
title={Robust face recognition via sparse representation},
author={Wright, John and Yang, Allen Y and Ganesh, Arvind and Sastry, S Shankar and Ma, Yi},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={31},
number={2},
pages={210--227},
year={2009},
publisher={IEEE}
}
@Article{vu2016histopathological,
author = {Vu, Tiep and Mousavi, Hojjat Seyed and Monga, Vishal and Rao, Ganesh and Rao, UK Arvind},
title = {Histopathological image classification using discriminative feature-oriented dictionary learning},
journal = {IEEE Transactions on Medical Imaging},
year = {2016},
volume = {35},
number = {3},
pages = {738--751},
publisher = {IEEE},
}
@article{liaw2002classification,
title={Classification and regression by randomForest},
author={Liaw, Andy and Wiener, Matthew and others},
journal={R news},
volume={2},
number={3},
pages={18--22},
year={2002}
}
@InProceedings{zeiler2014visualizing,
author = {Zeiler, Matthew D and Fergus, Rob},
title = {Visualizing and understanding convolutional networks},
booktitle = {Proceedings IEEE European Conference on Computer Vision},
year = {2014},
pages = {818--833},
organization = {Springer},
}
@InProceedings{szegedy2015going,
author = {Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
title = {Going deeper with convolutions},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2015},
pages = {1--9},
}
@InProceedings{he2016deep,
author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
title = {Deep residual learning for image recognition},
booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition},
year = {2016},
pages = {770--778},
}
@article{simonyan2014very,
title={Very deep convolutional networks for large-scale image recognition},
author={Simonyan, Karen and Zisserman, Andrew},
journal={arXiv preprint arXiv:1409.1556},
year={2014}
}
@inproceedings{csurka2004visual,
title={Visual categorization with bags of keypoints},
author={Csurka, Gabriella and Dance, Christopher and Fan, Lixin and Willamowski, Jutta and Bray, C{\'e}dric},
booktitle={Workshop on statistical learning in computer vision, ECCV},
volume={1},
number={1-22},
pages={1--2},
year={2004},
organization={Prague}
}
@article{kodinariya2013review,
title={Review on determining number of Cluster in K-Means Clustering},
author={Kodinariya, Trupti M and Makwana, Prashant R},
journal={International Journal},
volume={1},
number={6},
pages={90--95},
year={2013}
}
@InProceedings{ng2002spectral,
author = {Ng, Andrew Y and Jordan, Michael I and Weiss, Yair},
title = {On spectral clustering: Analysis and an algorithm},
booktitle = {Advances in Neural Information Processing Systems},
year = {2002},
pages = {849--856},
}
@article{von2007tutorial,
title={A tutorial on spectral clustering},
author={Von Luxburg, Ulrike},
journal={Statistics and computing},
volume={17},
number={4},
pages={395--416},
year={2007},
publisher={Springer}
}
@article{quinlan1986induction,
title={Induction of decision trees},
author={Quinlan, J. Ross},
journal={Machine learning},
volume={1},
number={1},
pages={81--106},
year={1986},
publisher={Springer}
}
@book{breiman1984classification,
title={Classification and regression trees},
author={Breiman, Leo and Friedman, Jerome and Stone, Charles J and Olshen, Richard A},
year={1984},
publisher={CRC press}
}
@book{witten2016data,
title={Data Mining: Practical machine learning tools and techniques},
author={Witten, Ian H and Frank, Eibe and Hall, Mark A and Pal, Christopher J},
year={2016},
publisher={Morgan Kaufmann}
}
@article{mingers1989empirical,
title={An empirical comparison of pruning methods for decision tree induction},
author={Mingers, John},
journal={Machine learning},
volume={4},
number={2},
pages={227--243},
year={1989},
publisher={Springer}
}
@Comment{jabref-meta: databaseType:bibtex;}