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103
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TIP
2010
164views more  TIP 2010»
14 years 7 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
163
Voted
IUI
2011
ACM
14 years 3 months ago
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor’s desirable properties, s...
Sven G. Kratz, Michael Rohs
98
Voted
ECCV
2004
Springer
16 years 2 months ago
On the Significance of Real-World Conditions for Material Classification
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
125
Voted
ECAI
2006
Springer
15 years 4 months ago
Automatic Term Categorization by Extracting Knowledge from the Web
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
113
Voted
FLAIRS
2004
15 years 2 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...