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SAC
2006
ACM
14 years 1 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 1 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
GECCO
2004
Springer
123views Optimization» more  GECCO 2004»
14 years 1 months ago
Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems
In this paper, we consider a variation of the Euclidean Steiner Tree Problem in which the space underlying the set of nodes has a specified non-uniform cost structure. This proble...
Ian Frommer, Bruce L. Golden, Guruprasad Pundoor
ISCA
2010
IEEE
305views Hardware» more  ISCA 2010»
14 years 21 days ago
Rethinking DRAM design and organization for energy-constrained multi-cores
DRAM vendors have traditionally optimized the cost-perbit metric, often making design decisions that incur energy penalties. A prime example is the overfetch feature in DRAM, wher...
Aniruddha N. Udipi, Naveen Muralimanohar, Niladris...
PLDI
2010
ACM
14 years 20 days ago
Supporting speculative parallelization in the presence of dynamic data structures
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Chen Tian, Min Feng, Rajiv Gupta