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» Complexity Dimensions and Learnability
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SOFTWARE
2008
13 years 7 months ago
What Do We Know about Developer Motivation?
s of titles and abstracts) as irrelevant to our focus. We read the remaining 519 papers in full to establish our final list. The 92 papers we chose were originally published in the...
Tracy Hall, Helen Sharp, Sarah Beecham, Nathan Bad...
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
IVS
2007
110views more  IVS 2007»
13 years 7 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
JALC
2007
90views more  JALC 2007»
13 years 7 months ago
Learning Unary Automata
We determine the complexity of learning problems for unary regular languages. We begin by investigating the minimum consistent dfa (resp. nfa) problem which is known not to be app...
Gregor Gramlich, Ralf Herrmann
TOG
2008
174views more  TOG 2008»
13 years 7 months ago
A mass spring model for hair simulation
Our goal is to simulate the full hair geometry, consisting of approximately one hundred thousand hairs on a typical human head. This will require scalable methods that can simulat...
Andrew Selle, Michael Lentine, Ronald Fedkiw