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» Combining Multiple Kernels by Augmenting the Kernel Matrix
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MTA
2006
173views more  MTA 2006»
14 years 11 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang
PATMOS
2000
Springer
15 years 3 months ago
Data-Reuse and Parallel Embedded Architectures for Low-Power, Real-Time Multimedia Applications
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
ACCV
2010
Springer
14 years 6 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
CSE
2009
IEEE
15 years 3 months ago
A Comparative Study of Blocking Storage Methods for Sparse Matrices on Multicore Architectures
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
ACMMSP
2006
ACM
260views Hardware» more  ACMMSP 2006»
15 years 5 months ago
Seven at one stroke: results from a cache-oblivious paradigm for scalable matrix algorithms
A blossoming paradigm for block-recursive matrix algorithms is presented that, at once, attains excellent performance measured by • time, • TLB misses, • L1 misses, • L2 m...
Michael D. Adams, David S. Wise