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» Improving Recognition of Novel Input with Similarity
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AAAI
1996
15 years 1 months ago
A Hybrid Learning Approach for Better Recognition of Visual Objects
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
Ibrahim F. Imam, Srinivas Gutta
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
15 years 5 months ago
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Ognjen Arandjelovic, Roberto Cipolla
94
Voted
MMM
2009
Springer
187views Multimedia» more  MMM 2009»
15 years 8 months ago
Evidence Theory-Based Multimodal Emotion Recognition
Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aim...
Marco Paleari, Rachid Benmokhtar, Benoit Huet
100
Voted
PR
2007
133views more  PR 2007»
14 years 11 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
DATE
2008
IEEE
170views Hardware» more  DATE 2008»
15 years 6 months ago
ETBR: Extended Truncated Balanced Realization Method for On-Chip Power Grid Network Analysis
In this paper, we present a novel simulation approach for power grid network analysis. The new approach, called ETBR for extended truncated balanced realization, is based on model...
Duo Li, Sheldon X.-D. Tan, Bruce McGaughy