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» High Performance Matrix Multiplication on Many Cores
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SISAP
2010
IEEE
243views Data Mining» more  SISAP 2010»
13 years 6 months ago
Similarity matrix compression for efficient signature quadratic form distance computation
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
NIPS
2001
13 years 10 months ago
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Roman Genov, Gert Cauwenberghs
DSD
2010
IEEE
190views Hardware» more  DSD 2010»
13 years 9 months ago
Hardware-Based Speed Up of Face Recognition Towards Real-Time Performance
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
I. Sajid, Sotirios G. Ziavras, M. M. Ahmed
IAJIT
2011
13 years 4 months ago
Blocked-based sparse matrix-vector multiplication on distributed memory parallel computers
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
Rukhsana Shahnaz, Anila Usman
ICCV
2003
IEEE
14 years 11 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara