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» Recognizing Unnecessary Inference
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IWPC
2009
IEEE
14 years 2 months ago
Impact analysis and visualization toolkit for static crosscutting in AspectJ
Understanding aspect-oriented systems, without appropriate tool support, is a difficult and a recognized problem in the research community. Surprisingly, little has been done to ...
Dehua Zhang, Ekwa Duala-Ekoko, Laurie J. Hendren
IJCNN
2008
IEEE
14 years 1 months ago
Shedding weights: More with less
—Traditional connectionist classification models place an emphasis on learned synaptic weights. Based on neurobiological evidence, a new approach is developed and experimentally ...
Tsvi Achler, Cyrus Omar, Eyal Amir
ICRA
2007
IEEE
164views Robotics» more  ICRA 2007»
14 years 1 months ago
Affect Recognition in Robot Assisted Rehabilitation of Children with Autism Spectrum Disorder
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD). The overall aim is to enable t...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
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
SEMCO
2007
IEEE
14 years 1 months ago
Determining Modality and Factuality for Text Entailment
Recognizing textual entailment (TE) is a complex task involving knowledge from many different sources. One major source of information in this task is event factuality, since the ...
Roser Sauri, James Pustejovsky