This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
This paper presents a novel approach to recovering temporally coherent estimates of 3D structure of a dynamic scene from a sequence of binocular stereo images. The approach is bas...
In this communication, we propose a method for the automatic extraction of numerical fields in handwritten documents. The approach exploits the known syntactic structure of the nu...
Background: We recently developed the Paired End diTag (PET) strategy for efficient characterization of mammalian transcriptomes and genomes. The paired end nature of short PET se...
Kuo Ping Chiu, Chee-Hong Wong, Qiongyu Chen, Prami...