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» Improved Algorithms for Data Migration
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ICASSP
2010
IEEE
15 years 6 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou
ESWA
2006
165views more  ESWA 2006»
15 years 6 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
IJISTA
2008
99views more  IJISTA 2008»
15 years 6 months ago
Increasing depth lateral resolution based on sensor fusion
Abstract: Technologies for measuring range data were intensively developed in recent years. The time-of-flight matrix range sensor is one of the most active range acquisition devic...
W. Hannemann, André Linarth, B. Liu, Gabrie...
LISP
2008
104views more  LISP 2008»
15 years 6 months ago
Flattening tuples in an SSA intermediate representation
For functional programs, unboxing aggregate data structures such as tuples removes memory indirections and frees dead components of the decoupled structures. To explore the consequ...
Lukasz Ziarek, Stephen Weeks, Suresh Jagannathan
JCP
2007
121views more  JCP 2007»
15 years 6 months ago
Learning by Discrimination: A Constructive Incremental Approach
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
Christophe G. Giraud-Carrier, Tony R. Martinez