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» Learning Models for Object Recognition
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UMUAI
2002
138views more  UMUAI 2002»
15 years 1 months ago
Designing and Evaluating an Adaptive Spoken Dialogue System
Spoken dialogue systemperformance canvary widely fordifferentusers, aswell for the same userduring different dialogues.This paper presents the design and evaluation ofan adaptive v...
Diane J. Litman, Shimei Pan
128
Voted
ICCV
2005
IEEE
16 years 3 months ago
A Hierarchical Field Framework for Unified Context-Based Classification
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
Sanjiv Kumar, Martial Hebert
CVPR
2011
IEEE
14 years 5 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 2 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 2 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee