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ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
16 years 20 days ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
15 years 11 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
VIP
2003
15 years 8 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ALT
2004
Springer
16 years 3 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles
ICANN
2007
Springer
15 years 10 months ago
The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences
We present an artificial neural network used to learn online complex temporal sequences of gestures to a robot. The system is based on a simple temporal sequences learning architec...
Matthieu Lagarde, Pierre Andry, Philippe Gaussier