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ICPR
2006
IEEE
14 years 8 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
MIDDLEWARE
2010
Springer
13 years 6 months ago
Automatically Generating Symbolic Prefetches for Distributed Transactional Memories
Abstract. Developing efficient distributed applications while managing complexity can be challenging. Managing network latency is a key challenge for distributed applications. We ...
Alokika Dash, Brian Demsky
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
13 years 6 months ago
Data-driven optimization for underactuated robotic hands
— Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. I...
Matei T. Ciocarlie, Peter K. Allen
ICPR
2008
IEEE
14 years 9 months ago
Unfolding warping for object recognition
In practice, understanding the spatial relationships between the surfaces of an object, can significantly improve the performance of object recognition systems. In this paper we p...
Jun Xie, Min Hu, Mubarak Shah