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TNN
2008
178views more  TNN 2008»
13 years 7 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
VMCAI
2010
Springer
14 years 4 months ago
Building a Calculus of Data Structures
Abstract. Techniques such as verification condition generation, preditraction, and expressive type systems reduce software verification to proving formulas in expressive logics. Pr...
Viktor Kuncak, Ruzica Piskac, Philippe Suter, Thom...
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 4 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
COMCOM
2007
136views more  COMCOM 2007»
13 years 7 months ago
Demand-scalable geographic multicasting in wireless sensor networks
In this paper, we focus on the challenge of demand-scalable multicast routing in wireless sensor networks. Due to the ad-hoc nature of the placement of the sensor nodes as well as...
Shibo Wu, K. Selçuk Candan
CC
2006
Springer
124views System Software» more  CC 2006»
13 years 11 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...