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EPIA
2009
Springer
15 years 10 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
ECIR
2010
Springer
15 years 8 months ago
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells
SBACPAD
2004
IEEE
105views Hardware» more  SBACPAD 2004»
15 years 8 months ago
Cache Filtering Techniques to Reduce the Negative Impact of Useless Speculative Memory References on Processor Performance
High-performance processors employ aggressive speculation and prefetching techniques to increase performance. Speculative memory references caused by these techniques sometimes br...
Onur Mutlu, Hyesoon Kim, David N. Armstrong, Yale ...
AVSS
2009
IEEE
15 years 7 months ago
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...
Carlos R. del-Blanco, Narciso N. García, Lu...
TVLSI
2008
111views more  TVLSI 2008»
15 years 6 months ago
GlitchLess: Dynamic Power Minimization in FPGAs Through Edge Alignment and Glitch Filtering
This paper describes Glitchless, a circuit-level technique for reducing power in FPGAs by eliminating unnecessary logic transitions called glitches. This is done by adding program...
Julien Lamoureux, Guy G. Lemieux, Steven J. E. Wil...