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» The Inefficiency of Batch Training for Large Training Sets
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ICIP
2005
IEEE
14 years 2 months ago
Robust face alignment based on local texture classifiers
We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifie...
Li Zhang, Haizhou Ai, Shengjun Xin, Chang Huang, S...
IEEEMSP
2002
IEEE
14 years 1 months ago
Musical query-by-description as a multiclass learning problem
Abstract—We present the query-by-description (QBD) component of “Kandem,” a time-aware music retrieval system. The QBD system we describe learns a relation between descriptiv...
Brian Whitman, Ryan M. Rifkin
IV
2000
IEEE
152views Visualization» more  IV 2000»
14 years 1 months ago
Effects of Desktop 3D World Design on User Navigation and Search Performance
Desktop virtual reality (VR) offers a powerful environment for visualizing structure in large information sets. In well-designed virtual worlds, users can employ skills from wayfi...
David Modjeska, John A. Waterworth
KDD
1997
ACM
103views Data Mining» more  KDD 1997»
14 years 1 months ago
Fast Committee Machines for Regression and Classification
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
Harris Drucker
ICANN
2007
Springer
14 years 24 days ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel