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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 3 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
POPL
2004
ACM
16 years 3 months ago
Incremental execution of transformation specifications
We aim to specify program transformations in a declarative style, and then to generate executable program transformers from such specifications. Many transformations require non-t...
Ganesh Sittampalam, Oege de Moor, Ken Friis Larsen
RSS
2007
129views Robotics» more  RSS 2007»
15 years 4 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
NIPS
2004
15 years 4 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
NECO
1998
168views more  NECO 1998»
15 years 2 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson