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CLOR
2006
13 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
13 years 11 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson
ICDE
2010
IEEE
213views Database» more  ICDE 2010»
13 years 11 months ago
TargetSearch: A Ranking Friendly XML Keyword Search Engine
Abstract-- This demo illustrates an XML search engine TargetSearch that addresses an open problem in XML keyword search: given relevant matches to keywords, how to compose query re...
Ziyang Liu, Yichuan Cai, Yi Chen
FDL
2008
IEEE
13 years 9 months ago
RTL Generation of Channel Architecture Templates for a Template-based SoC Design Flow
In this paper, we propose the design methodology for communication channel templates from formal specification to RTL description. In this flow, design and verification start from...
Jinhyun Cho, Soonwoo Choi, Soo Chae
ACL
2008
13 years 9 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum