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» Semi-supervised boosting using visual similarity learning
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96
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NECO
2010
154views more  NECO 2010»
14 years 8 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
99
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SIGCSE
2002
ACM
229views Education» more  SIGCSE 2002»
14 years 10 months ago
GraphicsMentor: a tool for learning graphics fundamentals
This paper discusses the functionality of GraphicsMentor. GraphicsMentor permits a student to modify many parameters of the camera, objects, and light sources interactively, and t...
Dejan Nikolic, Ching-Kuang Shene
128
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TMM
2010
199views Management» more  TMM 2010»
14 years 5 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath
98
Voted
HUMO
2000
Springer
15 years 1 months ago
A Computational Model for Motion Detection and Direction Discrimination in Humans
Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and ...
Yang Song, Pietro Perona
93
Voted
CVPR
2000
IEEE
16 years 8 days ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona