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CVPR
2009
IEEE
15 years 3 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
CVPR
2005
IEEE
14 years 10 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
CVPR
2010
IEEE
14 years 4 months ago
Moving Vistas: Exploiting Motion for Describing Scenes
Scene recognition in an unconstrained setting is an open and challenging problem with wide applications. In this paper, we study the role of scene dynamics for improved representa...
Nitesh Shroff, Pavan Turaga, Rama Chellappa
IEEEPACT
2008
IEEE
14 years 3 months ago
The PARSEC benchmark suite: characterization and architectural implications
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Prev...
Christian Bienia, Sanjeev Kumar, Jaswinder Pal Sin...
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
14 years 3 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz