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ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 2 months ago
Adaptive minimax filtering via recursive optimal quadratic approximations
This paper considers the minimax filtering problem in which the supremum norm of weighted error sequence is minimized. It is shown that the minimax solution is also the optimal Se...
S. Gollamudi, Yih-Fang Huang
ESTIMEDIA
2006
Springer
15 years 1 months ago
Use of a Bit-true Data Flow Analysis for Processor-Specific Source Code Optimization
Nowadays, key characteristics of a processor's instruction set are only exploited in high-level languages by using inline assembly or compiler intrinsics. Inserting intrinsic...
Heiko Falk, Jens Wagner, André Schaefer
ICMLA
2007
14 years 11 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
NECO
2006
103views more  NECO 2006»
14 years 10 months ago
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
Jean-Pascal Pfister, Taro Toyoizumi, David Barber,...
PODS
2008
ACM
123views Database» more  PODS 2008»
15 years 10 months ago
Evaluating rank joins with optimal cost
In the rank join problem, we are given a set of relations and a scoring function, and the goal is to return the join results with the top K scores. It is often the case in practic...
Karl Schnaitter, Neoklis Polyzotis