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MAM
2007
113views more  MAM 2007»
13 years 5 months ago
A reconfigurable computing framework for multi-scale cellular image processing
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. Thes...
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Ha...
SBBD
2004
89views Database» more  SBBD 2004»
13 years 7 months ago
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...
DATESO
2007
157views Database» more  DATESO 2007»
13 years 7 months ago
Index-Based Approach to Similarity Search in Protein and Nucleotide Databases
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
David Hoksza, Tomás Skopal
NIPS
2007
13 years 7 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
MAM
2007
157views more  MAM 2007»
13 years 5 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene