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» Frameworks of Process Improvement for Mobile Applications
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MM
2004
ACM
152views Multimedia» more  MM 2004»
15 years 2 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
TJS
2002
121views more  TJS 2002»
14 years 9 months ago
Precise Data Locality Optimization of Nested Loops
A significant source for enhancing application performance and for reducing power consumption in embedded processor applications is to improve the usage of the memory hierarchy. In...
Vincent Loechner, Benoît Meister, Philippe C...
VIS
2007
IEEE
125views Visualization» more  VIS 2007»
15 years 10 months ago
High-Quality Multimodal Volume Rendering for Preoperative Planning of Neurosurgical Interventions
Surgical approaches tailored to an individual patient's anatomy and pathology have become standard in neurosurgery. Precise preoperative planning of these procedures, however,...
Johanna Beyer, Markus Hadwiger, Stefan Wolfsberg...
DAC
2004
ACM
15 years 10 months ago
Toward a methodology for manufacturability-driven design rule exploration
Resolution enhancement techniques (RET) such as optical proximity correction (OPC) and phase-shift mask (PSM) technology are deployed in modern processes to increase the fidelity ...
Luigi Capodieci, Puneet Gupta, Andrew B. Kahng, De...
ECML
2004
Springer
15 years 2 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner