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CVPR
2010
IEEE
14 years 4 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
NIPS
2007
13 years 9 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 5 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
IADIS
2003
13 years 9 months ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
CIKM
1999
Springer
14 years 5 days ago
Performance and Implications of Semantic Indexing in a Distributed Environment
A research prototype is presented for semantic indexing and retrieval in Information Retrieval. The prototype is motivated by a desire to provide a more efficient and effective in...
Conrad T. K. Chang, Bruce R. Schatz