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» Learning Generic Prior Models for Visual Computation
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JITE
2006
94views more  JITE 2006»
14 years 9 months ago
On the Design and Development of a UML-Based Visual Environment for Novice Programmers
learning abstract computer concepts. In addition, visualization helps novices construct a mental model of concepts, which is pivotal to further comprehension and understanding. Sec...
Brian D. Moor, Fadi P. Deek
ECCV
2008
Springer
15 years 11 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis
ECCV
2010
Springer
14 years 10 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
CVPR
2003
IEEE
15 years 11 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
IWPC
1998
IEEE
15 years 1 months ago
Pattern Visualization for Software Comprehension
Cognitive science emphasizes the strength of visual formalisms for human learning and problem solving. In software engineering, a clear, visual presentation of a system's arc...
Reinhard Schauer, Rudolf K. Keller