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Endoscopy is an important tool for gastric cancer screening. Due to the lack of effective decision support system for endoscopy, the detection of gastric cancer in the clinic is usually with low sensitivity. In this paper, we propose a Genetic Algorithm optimized Neural Network (GAoNN) approach for gastric cancer detection based on endoscopy reports mining. Considering the fact that gastric cancer...
Convolutional Neural Networks (CNNs) with Bilinear Pooling, initially in their full form and later using compact representations, have yielded impressive performance gains on a wide range of visual tasks, including fine-grained visual categorization, visual question answering, face recognition, and description of texture and style. The key to their success lies in the spatially invariant modeling...
We introduce a likelihood framework for nonlinear signal processing using partial likelihood and use the result to derive the information geometric em algorithm for distribution learning through information-theoretic projections. We demonstrate the superior convergence of the em algorithm as compared to least relative entropy (LRE) algorithm by simulations. The performance of finite normal mixtures...
In this paper, we introduce a nonlinear decision feedback equalizer (DFE) structure which decomposes the nonlinear equalization problem into feedback and feedforward parts, thus allows flexibility in the choice of suitable structures for a given problem and improves on the performance of the conventional DFE and the nonlinear equalizer proposed in [1]. We show that the given general structure for...
A recurrent canonical piecewise linear (RCPL) network is proposed based on the canonical piecewise linear (CPL) structure and is applied to channel equalization. RCPL network provides savings in computation and implementation and has a distinct dynamic behavior completely different than that of finite duration feedforward structure. The simulations of multilevel signal equalization demonstrate the...
There is an increasing demand for indoor navigation and localization systems along with the increasing popularity of location based services in recent years. According to past researches, Bluetooth is a promising technology for indoor wireless positioning due to its cost-effectiveness and easy-to-deploy feature. This paper studied three typical fingerprinting-based positioning algorithms - kNN, Neural...
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