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» Learning Features that Predict Cue Usage
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CVPR
2011
IEEE
13 years 1 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
EACL
2006
ACL Anthology
13 years 6 months ago
Automatic Segmentation of Multiparty Dialogue
In this paper, we investigate the problem of automatically predicting segment boundaries in spoken multiparty dialogue. We extend prior work in two ways. We first apply approaches...
Pei-yun Hsueh, Johanna D. Moore, Steve Renals
BMCBI
2010
227views more  BMCBI 2010»
13 years 5 months ago
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage
Background: HIV-1 targets human cells expressing both the CD4 receptor, which binds the viral envelope glycoprotein gp120, as well as either the CCR5 (R5) or CXCR4 (X4) co-recepto...
Majid Masso, Iosif I. Vaisman
CVPR
2012
IEEE
11 years 7 months ago
Learning to localize detected objects
In this paper, we propose an approach to accurately localize detected objects. The goal is to predict which features pertain to the object and define the object extent with segme...
Qieyun Dai, Derek Hoiem
AIED
2007
Springer
13 years 11 months ago
Tools for Authoring a Dialogue Agent that Participates in Learning Studies
TuTalk supports the rapid development of dialogue agents for learning applications. It enables an experimenter to create a dialogue agent with either minimal or no programming and ...
Pamela W. Jordan, Brian Hall, Michael A. Ringenber...