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» Combining Metric Features in Large Collections
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TCAD
2002
86views more  TCAD 2002»
13 years 7 months ago
Platune: a tuning framework for system-on-a-chip platforms
System-on-a-chip (SOC) platform manufacturers are increasingly adding configurable features that provide power and performance flexibility in order to increase a platform's ap...
Tony Givargis, Frank Vahid
NIPS
2007
13 years 9 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
SISAP
2010
IEEE
159views Data Mining» more  SISAP 2010»
13 years 6 months ago
CP-index: using clustering and pivots for indexing non-metric spaces
Most multimedia information retrieval systems use an indexing scheme to speed up similarity search. The index aims to discard large portions of the data collection at query time. ...
Victor Sepulveda, Benjamin Bustos
ACCV
1995
Springer
13 years 11 months ago
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
Michael Lindenbaum
EUROPAR
2009
Springer
14 years 12 days ago
Detailed Performance Analysis Using Coarse Grain Sampling
Performance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detaile...
Harald Servat, Germán Llort, Judit Gimenez,...