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» Data generation using declarative constraints
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NIPS
2003
13 years 8 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
14 years 1 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
ICDE
2006
IEEE
163views Database» more  ICDE 2006»
14 years 8 months ago
A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
ICRA
2010
IEEE
467views Robotics» more  ICRA 2010»
13 years 6 months ago
WiFi localization and navigation for autonomous indoor mobile robots
— Building upon previous work that demonstrates the effectiveness of WiFi localization information per se, in this paper we contribute a mobile robot that autonomously navigates ...
Joydeep Biswas, Manuela M. Veloso
SAC
2010
ACM
14 years 24 days ago
User-controlled generalization boundaries for p-sensitive k-anonymity
Numerous privacy models based on the k-anonymity property have been introduced in the last few years. While differing in their methods and quality of their results, they all focus...
Alina Campan, Traian Marius Truta, Nicholas Cooper