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GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
140
Voted
EDM
2009
114views Data Mining» more  EDM 2009»
15 years 2 months ago
Reducing the Knowledge Tracing Space
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-pa...
Steven Ritter, Thomas K. Harris, Tristan Nixon, Da...
ECCV
2002
Springer
16 years 6 months ago
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
Tony Lindeberg
ICCD
2002
IEEE
164views Hardware» more  ICCD 2002»
16 years 1 months ago
Locating Tiny Sensors in Time and Space: A Case Study
— As the cost of embedded sensors and actuators drops, new applications will arise that exploit high density networks of small devices capable of a variety of sensing tasks. Alth...
Lewis Girod, Vladimir Bychkovskiy, Jeremy Elson, D...
GMP
2006
IEEE
157views Solid Modeling» more  GMP 2006»
15 years 10 months ago
Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves
Abstract. Low-discrepancy point distributions exhibit excellent uniformity properties for sampling in applications such as rendering and measurement. We present an algorithm for ge...
J. A. Quinn, Frank C. Langbein, Ralph R. Martin, G...