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NIPS
1992
13 years 8 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
CHI
2004
ACM
14 years 8 months ago
Human-robot speech interface understanding inexplicit utterances using vision
Speech interfaces should have a capability of dealing with inexplicit utterances including such as ellipsis and deixis since they are common phenomena in our daily conversation. T...
Zaliyana Mohd Hanafiah, Chizu Yamazaki, Akio Nakam...
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 1 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
SIGCSE
2003
ACM
141views Education» more  SIGCSE 2003»
14 years 24 days ago
Teaching objects-first in introductory computer science
An objects-first strategy for teaching introductory computer science courses is receiving increased attention from CS educators. In this paper, we discuss the challenge of the obj...
Stephen Cooper, Wanda Dann, Randy Pausch
ITICSE
2006
ACM
14 years 1 months ago
WADEIn II: a case for adaptive explanatory visualization
Adaptive explanatory visualization is an attempt to integrate two promising approaches to program visualization: adaptive visualization and explanatory visualization. The goal of ...
Peter Brusilovsky, Tomasz D. Loboda