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ECCV
2010
Springer
13 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
DNA
2007
Springer
176views Bioinformatics» more  DNA 2007»
14 years 3 months ago
Asynchronous Spiking Neural P Systems: Decidability and Undecidability
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
Matteo Cavaliere, Ömer Egecioglu, Oscar H. Ib...
VLSID
2009
IEEE
108views VLSI» more  VLSID 2009»
14 years 9 months ago
Metric Based Multi-Timescale Control for Reducing Power in Embedded Systems
Abstract--Digital control for embedded systems often requires low-power, hard real-time computation to satisfy high control-loop bandwidth, low latency, and low-power requirements....
Forrest Brewer, João Pedro Hespanha, Nitin ...
DCC
2003
IEEE
14 years 8 months ago
Code Compression Using Variable-to-fixed Coding Based on Arithmetic Coding
Embedded computing systems are space and cost sensitive; memory is one of the most restricted resources, posing serious constraints on program size. Code compression, which is a s...
Yuan Xie, Wayne Wolf, Haris Lekatsas
CLADE
2008
IEEE
14 years 3 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens