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» Genetic Algorithms for Component Analysis
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95
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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 5 days ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
SIGIR
2009
ACM
15 years 6 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
101
Voted
SPAA
2006
ACM
15 years 5 months ago
Modeling instruction placement on a spatial architecture
In response to current technology scaling trends, architects are developing a new style of processor, known as spatial computers. A spatial computer is composed of hundreds or eve...
Martha Mercaldi, Steven Swanson, Andrew Petersen, ...
MM
2005
ACM
215views Multimedia» more  MM 2005»
15 years 5 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
INFOSCALE
2007
ACM
15 years 1 months ago
Scalable problem localization for distributed systems: principles and practices
Problem localization is a critical part of providing crucial system management capabilities to modern distributed environments. One key open challenge is for problem localization ...
Rui Zhang, Bruno C. d. S. Oliveira, Alan Bivens, S...