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143
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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 3 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
109
Voted
ICIP
2008
IEEE
16 years 2 months ago
Super-resolution of video using key frames and motion estimation
Many scalable video coding systems use frame downsampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling...
Fernanda Brandi, Ricardo L. de Queiroz, Debargha M...
89
Voted
ICSE
2005
IEEE-ACM
16 years 19 days ago
Safe query objects: statically typed objects as remotely executable queries
When building scalable systems that involve general-purpose computation and persistent data, object-oriented languages and relational databases are often essential components. Yet...
William R. Cook, Siddhartha Rai
95
Voted
ICCD
2004
IEEE
107views Hardware» more  ICCD 2004»
15 years 9 months ago
Network-on-Chip: The Intelligence is in The Wire
In this paper we describe how Network-on-Chip (NoC) will be the next major challenge to implementing complex and function-rich applications in advanced manufacturing processes at ...
Gérard Mas, Philippe Martin
ICCAD
2007
IEEE
164views Hardware» more  ICCAD 2007»
15 years 9 months ago
Architectural power models for SRAM and CAM structures based on hybrid analytical/empirical techniques
— The need to perform power analysis in the early stages of the design process has become critical as power has become a major design constraint. Embedded and highperformance mic...
Xiaoyao Liang, Kerem Turgay, David Brooks