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» Objective Functions for Feature Discrimination
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IJCAI
2007
15 years 4 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
130
Voted
CIS
2005
Springer
15 years 8 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
180
Voted
ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
138
Voted
CVPR
2006
IEEE
16 years 4 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
133
Voted
MMM
2008
Springer
117views Multimedia» more  MMM 2008»
15 years 9 months ago
Distribution-Based Similarity for Multi-represented Multimedia Objects
In modern multimedia databases, objects can be represented by a large variety of feature representations. In order to employ all available information in a best possible way, a joi...
Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin,...