This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding method...
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Robust and accurate cancer classification is critical in cancer treatment. Gene expression profiling is expected to enable us to diagnose tumors precisely and systematically. However, the classification task in this c...
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ISBN:
(纸本)0769523447
Robust and accurate cancer classification is critical in cancer treatment. Gene expression profiling is expected to enable us to diagnose tumors precisely and systematically. However, the classification task in this context is very challenging because of the curse of dimensionality and the small sample size problem. In this paper, we propose a novel method to solve these two problems. Our method is able to map gene expression data into a very low dimensional space and thus meets the recommended samples to features per class ratio. As a result, it can be used to classify new samples robustly with low and trustable (estimated) error rates. The method is based on linear discriminant analysis (LDA). However, the conventional LDA requires that the within-class scatter matrix S/sub w/ be nonsingular. Unfortunately, S/sub w/ is always singular in the case of cancer classification due to the small sample size problem. To overcome this problem, we develop a generalized linear discriminant analysis (GLDA) that is a general, direct, and complete solution to optimize Fisher's criterion. GLDA is mathematically well-founded and coincides with the conventional LDA when S/sub w/ is nonsingular. Different from the conventional LDA, GLDA does not assume the nonsingularity of S/sub w/, and thus naturally solves the small sample size problem. To accommodate the high dimensionality of scatter matrices, a fast algorithm of GLDA is also developed. Our extensive experiments on seven public cancer datasets show that the method performs well. Especially on some difficult instances that have very small samples to genes per class ratios, our method achieves much higher accuracies than widely used classification methods such as support vector machines, random forests, etc.
In this paper, we argue firstly that researchers in critical computing should address the specific information and communication technology (ICT) needs and activities of those agencies concerned with emancipatory issu...
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A community computer network facilitates civic participation by providing pervasive local resources online and by connecting people to local communication and discussion channels, public and non-profit organization le...
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This paper describes Mocha, an open mobile S/W platform and application developed by Samsung Electronics. Mocha's key features are its efficiency (it fits in regular phones), its portability (it covers different s...
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This paper describes Mocha, an open mobile S/W platform and application developed by Samsung Electronics. Mocha's key features are its efficiency (it fits in regular phones), its portability (it covers different stack/OS/chipsets for CDMA, EV-DO, GSM/GPRS, and UMTS), its modularity and configurability (it meets customers' varying needs), its extensibility (it can he adapted to include new features and interfaces), its interoperability based on de-facto standards such as OMA, 3GPP, 3GPP2, CDG; and its security (it can withstand the attack of malicious applications). Among these key features, in this paper, we outline the multimedia messaging service (MMS) that inspired this system and then describe its design, architecture, and prototype implementation.
This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding method...
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This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding methods to compress interlaced, deinterlaced and progressively scanned video sequences at different bit rates. Our results show that progressively scanned video outperforms interlaced video in both coding efficiency and video quality. We also found that the use of a deinterlacing algorithm improves video coding performance. In addition, we found that interlaced or progressively scanned video data can be compressed using either progressive or interlaced coding algorithms without significant difference in performance.
Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adapta...
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Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adaptation, meaning that drivers tend to increase speed and pay less attention to driving when supported by an advanced assistance system. We relate behavioral adaptation to reinforcement learning at a subconscious level, and propose that driver assistance is dynamically varied within predetermined safety limits. The aim of employing a dynamic assistance policy is to prevent the driver from noticing a constant improvement in vehicle handling. We conclude by describing ongoing work for empirically evaluating an improved lane departure warning system that uses a dynamic assistance policy.
As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the ...
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As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the panel organizers believe that there are certain strategies that facilitate success. To teach these lessons, we have invited several key figures who are seeking to commercialize information visualization tools. The panelists make short presentations, engage in a moderated discussion, and respond to audience questions.
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