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BMCBI
2010
115views more  BMCBI 2010»
15 years 4 months ago
Non-coding RNA detection methods combined to improve usability, reproducibility and precision
Background: Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction...
Peter Raasch, Ulf Schmitz, Nadja Patenge, Julio Ve...
SIGMOD
2003
ACM
123views Database» more  SIGMOD 2003»
16 years 4 months ago
Distributed deviation detection in sensor networks
Sensor networks have recently attracted much attention, because of their potential applications in a number of different settings. The sensors can be deployed in large numbers in ...
Themistoklis Palpanas, Dimitris Papadopoulos, Vana...
ISI
2006
Springer
15 years 4 months ago
Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects
Abstract. With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. With such data, it becomes possible to...
Xiaolei Li, Jiawei Han, Sangkyum Kim
ICIP
2003
IEEE
16 years 5 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...
CVPR
2005
IEEE
16 years 6 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua