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» The Dark Side of Object Learning: Learning Objects
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IJCV
2008
192views more  IJCV 2008»
13 years 9 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ECCV
2008
Springer
14 years 11 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
HVC
2005
Springer
160views Hardware» more  HVC 2005»
14 years 2 months ago
Simultaneous SAT-Based Model Checking of Safety Properties
We present several algorithms for simultaneous SAT (propositional satisfiability) based model checking of safety properties. More precisely, we focus on Bounded Model Checking and ...
Zurab Khasidashvili, Alexander Nadel, Amit Palti, ...
IFIP3
2004
99views Education» more  IFIP3 2004»
13 years 10 months ago
Government sponsored open source software for school education
: The history of computing can be seen in terms of cultural change engendered by philosophical opposition. In education some key philosophical dichotomies are those of commercial-c...
Andrew E. Fluck
ICCV
2011
IEEE
12 years 9 months ago
Sparse Dictionary-based Representation and Recognition of Action Attributes
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
Qiang Qiu, Zhuolin Jiang, Rama Chellappa