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Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), neuromorphic vision toolkit (NVT) and etc., but they demand high computational cost and their(More)
Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), Neuromorphic Vision Toolkit (NVT), and others, but they demand high(More)
We present a methodology for the automatic identification and delineation of germ-layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells. A knowledge and understanding of the biology of these cells may lead to advances in tissue regeneration and repair, the treatment of genetic and developmental(More)
1. are the history queries in one session. 2. are the URLs in one impression page for query , it contains sat and unsat clicks. 3. is the current query. 4. are the URLs in the impression page for query based on the current ranking algorithm. Goal: re-­‐rank the based on some signals (i.e. topic, domain) derived from the in-­‐session clickthrough data. 1.(More)
In this paper, we develop a robust signal space separation (rSSS) algorithm for real-time magnetoencephalography (MEG) data processing. rSSS is based on the spatial signal space separation (SSS) method and it applies robust regression to automatically detect and remove bad MEG channels so that the results of SSS are not distorted. We extend the existing(More)
In this paper, an attention selection model with visual memory and online learning is proposed, which has three parts: Sensory Mapping (SM), Cognitive Mapping (CM) and Motor Mapping (MM). CM is the novelty of our model which incorporates visual memory and online learning. In order to mimic visual memory, we put forward an Amnesic Incremental Hierachical(More)
Automatic image segmentation is emerging field in image processing research domain. Many researchers have developed various techniques for segmenting the interested region in an image. Saliency based image segmentation is one of the keen area of research. In a visual scene, the objects which are different from their surroundings get more visual importance(More)
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