Aucouturier J, Pachet F (2002) Music similarity measures: what’s the use? In: Proceedings of the 3rd international conference on music information retrieval
Baluja S (2007) Automated image orientation detection: a scalable boosting approach. Pattern Anal Appl 10(3): 247–263
CrossRefMathSciNetBaluja S, Covell M (2006) Content fingerprinting with wavelets. In: Third European conference on visual media production (CVMP), pp 198–207
Baluja S, Covell M (2007) Learning forgiving hash functions: algorithms and large-scale tests. In: International joint conference on artificial intelligence
Bar-Hillel A, Hertz T, Shental N, Weinshall D (2003) Learning distance functions using equivalence relations. In: Proceedings of the twentieth international conference on machine learning
Brieman L (1996) Bagging predictors. Mach Learn 24(2): 123–140
Burges JC, Platt JC, Jana S (2003) Distortion discriminant analysis for audio fingerprinting. IEEE Trans Speech Audi Processing 11: 165–174
CrossRefBylander T, Tate L (2006) Using validation sets to avoid overfitting in AdaBoost. In: Proceedings of the 19th international Florida artificial intelligence research society conference, pp 544–549
Caruana R, Baluja S, Mitchell T (1996) Using the future to “sort out” the present: rankprop and multitask learning. Neural Inf Process Syst 8: 959–965
Chaudhuri S, Ganjam K, Ganti V, Motwani R (2003) Robust and efficient fuzzy match for online data cleaning. In: Proceedings of the 2003 ACM SIGMOD international conference on management of data, pp 313–324
Cohen E, Datar M, Fujiwara S, Gionis A, Indyk P, Motwani R, Ullman JD, Yang C (2001) Finding interesting associations without support pruning. Knowl Data Eng 13(1): 64–78
CrossRefCovell M, Baluja S (2007) Known-audio detection using waveprint: spectrogram fingerprinting by wavelet hashing. In: Proceedings of the international conference on acoustics, speech, and signal processing
Freund Y, Schapire R (1996) Experiments with a new boosting algorithm. In: Proceedings of the thirteenth international conference on machine learning, pp 148–156
Gionis A, Indyk P, Motwani R (1999) Similarity search in high dimensions via hashing. In: Proceedings of the international conference on very large databases. Edinburgh, Scotland, UK, pp 518–529
Haitsma J, Kalker T (2002), A highly robust audio fingerprinting system. In: Proceedings of International conference on music information retrieval
Hastie T, Tibshirani R (1996) Discriminant adaptive nearest neighbor. IEEE PAMI, 18
Jacobs C, Finkelstein A, Salesin D (1995) Fast multiresolution image querying. In: Proceedings SIGGRAPH
Ke Y, Hoiem D, Sukthankar R (2005) Computer vision for music identification. In: Proceedings of computer vision and pattern recognition, pp 597–604
Pampalk E (2006) Computational models of music similarity and their application to music information retrieval. Doctoral Thesis, Vienna University of Technology, Austria, March 2006
Shakhnarovich G, Viola P, Darrell T (2003) Fast pose estimation with parameter sensitive hashing. In: Proceedings of the international conference on computer vision
Tieu K, Viola P (2000) Boosting image retrieval. In: Proceedings of computer vision and pattern recognition
Tsang IW, Cheung P-M, Kwok JT (2005) Kernel relevant component analysis for distance metric learning. In: Proceedings of the 2005 IEEE international joint conference on neural networks, vol 2, pp 954–959
Viola P, Jones MJ (2001) Robust real-time object detection. In: Proceedings of the IEEE workshop on statistical and computational theories of vision
Wu J, Rehg J, Mullin M (2003) Learning a rare event detection cascade by direct feature selection. Adv Neural Inf Process Syst 16
Zhang L, Li M, Zhang H (2002) Boosting image orientation detection with indoor vs. outdoor classification. In: IEEE workshop on applications of computer vision