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CVPR
2001
IEEE
14 years 10 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2004
IEEE
14 years 10 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong
CHI
2004
ACM
14 years 9 months ago
Single-handed interaction techniques for multiple pressure-sensitive strips
We present a set of interaction techniques that make novel use of a small pressure-sensitive pad to allow one-handed direct control of a large number of parameters. The surface of...
Gábor Blaskó, Steven Feiner
SPAA
1990
ACM
14 years 21 days ago
Analysis of Multithreaded Architectures for Parallel Computing
Multithreading has been proposed as an architectural strategy for tolerating latency in multiprocessors and, through limited empirical studies, shown to offer promise. This paper ...
Rafael H. Saavedra-Barrera, David E. Culler, Thors...
EUROPAR
2004
Springer
14 years 12 days ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...