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CVPR
2007
IEEE
16 years 5 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
114
Voted
IPMI
2009
Springer
16 years 4 months ago
Cortical Correspondence with Probabilistic Fiber Connectivity
Abstract. This paper presents a novel method of optimizing pointbased correspondence among populations of human cortical surfaces by combining structural cues with probabilistic co...
Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross ...
133
Voted
ICML
2006
IEEE
16 years 4 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
FGR
2008
IEEE
289views Biometrics» more  FGR 2008»
15 years 10 months ago
Gabor volume based local binary pattern for face representation and recognition
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...
118
Voted
CVPR
2006
IEEE
15 years 9 months ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders