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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ISBI
2004
IEEE
16 years 7 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
IEEEPACT
1999
IEEE
15 years 10 months ago
Cameron: High level Language Compilation for Reconfigurable Systems
This paper presents the Cameron Project 1 , which aims to provide a high level, algorithmic language and optimizing compiler for the development of image processing applications o...
Jeffrey Hammes, Robert Rinker, A. P. Wim Böhm...
ISM
2008
IEEE
149views Multimedia» more  ISM 2008»
16 years 24 days ago
An Object-Based Mode Decision Algorithm for Multi-view Video Coding
Reducing spatial redundancies between different camera views is one of the major challenges in multiview video coding (MVC). However, with drastic increase in time consumption of ...
Seo-Young Lee, Kwang-Mu Shin, Ki-Dong Chung
EUROSYS
2007
ACM
16 years 3 months ago
Sprint: a middleware for high-performance transaction processing
Sprint is a middleware infrastructure for high performance and high availability data management. It extends the functionality of a standalone in-memory database (IMDB) server to ...
Lásaro J. Camargos, Fernando Pedone, Marcin...