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» Terminating Decision Algorithms Optimally
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RECSYS
2009
ACM
15 years 10 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
121
Voted
IESS
2007
Springer
128views Hardware» more  IESS 2007»
15 years 9 months ago
An Interactive Design Environment for C-based High-Level Synthesis
: Much effort in RTL design has been devoted to developing “push-button” types of tools. However, given the highly complex nature, and lack of control on RTL design, push-butt...
Dongwan Shin, Andreas Gerstlauer, Rainer Döme...
140
Voted
ISVC
2007
Springer
15 years 9 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
129
Voted
SC
2005
ACM
15 years 9 months ago
Automatic Tuning of Inlining Heuristics
Inlining improves the performance of programs by reducing the overhead of method invocation and increasing the opportunities for compiler optimization. Incorrect inlining decision...
John Cavazos, Michael F. P. O'Boyle
138
Voted
CN
2004
138views more  CN 2004»
15 years 3 months ago
Overhead energy considerations for efficient routing in wireless sensor networks
Energy is the most critical resource in the life of a wireless sensor node. Therefore, its usage must be optimized to maximize the network life. It is known that for higher path l...
E. Ilker Oyman, Cem Ersoy