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ECAI
2004
Springer
15 years 12 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
GRAPHITE
2005
ACM
16 years 4 days ago
Sketching with a low-latency electronic ink drawing tablet
Drawing on paper is an experience which is still unmatched by any input device for drawing into a computer in terms of accuracy, dexterity and general pleasantness of use. This pa...
Alex Henzen, Neculai Ailenei, Fabian Di Fiore, Fra...
ICML
2008
IEEE
16 years 7 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
GLOBECOM
2006
IEEE
16 years 19 days ago
Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
Ian C. Wong, Brian L. Evans
ICCV
1995
IEEE
15 years 10 months ago
Geodesic Active Contours
A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the imag...
Vicent Caselles, Ron Kimmel, Guillermo Sapiro