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CVPR
2009
IEEE
17 years 2 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 8 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
CGF
2005
311views more  CGF 2005»
15 years 7 months ago
Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...
Chien-Chang Ho, Fu-Che Wu, Bing-Yu Chen, Yung-Yu C...
TIP
2002
114views more  TIP 2002»
15 years 6 months ago
Lossy to lossless object-based coding of 3-D MRI data
Abstract--We propose a fully three-dimensional (3-D) object-based coding system exploiting the diagnostic relevance of the different regions of the volumetric data for rate allocat...
Gloria Menegaz, Jean-Philippe Thiran
TKDE
2010
197views more  TKDE 2010»
15 years 1 months ago
Filtering Data Streams for Entity-Based Continuous Queries
The idea of allowing query users to relax their correctness requirements in order to improve performance of a data stream management system (e.g., location-based services and senso...
Reynold Cheng, Benjamin C. M. Kao, Alan Kwan, Suni...