Wide field-of-view (FOV) and high-resolution (HR) imaging are essential to many applications where high-content image acquisition is necessary. However, due the insufficient spatial sampling of detector trade-off between pixel size photosensitivity, ability current sensors obtain high resolution limited, especially under low-light-level (LLL) conditions. To solve these problems, we propose a mu...

Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis very significant can avoid some categories cancers, such as melanoma focal cell carcinoma. The recognition the classification malignant growth in beginning time expensive challenging. deep learning architectures recurrent networks convolutional neural (ConvNets) are developed past, which prove...

A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to generalize its ability to identify objects to new locations in its visual field. The model consists of a feedforward network for object identification and a feedback network for object location. The feedforward network first...

We focused on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IR-based technique for answer selection. We also found that a few simple features derived from the questionanswer pairs can be used for effective confidence estimation. Our results also confirmed findings by Dumais et al, 2002 that the World-Wid...

We describe BBN’s Question Answering work at TREC 2002. We focus on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IRbased technique for answer selection. We also found that a few simple features derived from the question-answer pairs can be used for effective confidence estimation. Our results also confi...

This work presents a study about the use of Laban Movement Analysis (LMA) as a robust tool to describe human basic behavior patterns, to be applied in human-machine interaction. LMA is a language used to describe and annotate dancing movements and is divided in components [1]: Body, Space, Shape and Effort. Despite its general framework is widely used in physical and mental therapy [2], it has ...

Supervised approaches for text summarisation suffer from the problem of mismatch between the target labels/scores of individual sentences and the evaluation score of the final summary. Reinforcement learning can solve this problem by providing a learning mechanism that uses the score of the final summary as a guide to determine the decisions made at the time of selection of each sentence. In th...

Past research suggests Facebook use is linked to perceptions of social capital, a concept that taps into the resources people gain from interactions with their social network. In this study, we examine a sample of public Facebook status updates (N=20,000) for instances in which users request a response from their network. These attempts to mobilize resources offer insight into the mechanisms th...

A game of incomplete information or a Bayesian game is a game in which players do not have full information about each others payoffs. In a strategic situation where a player’s payoff depends on what actions his rivals will take, this poses a problem because a player does not know which game is being played. There are several reasons why players may not have full information about each others’p...