This presentation discusses wireless networks, access point selections, traffic balancing, multi-cell CDMA, user distribution modeling, and call admission control.

This presentation discusses interference model impacts on capacity, global call admission controls, local call admission controls, and the differences in global versus local call admission controls.

This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.

This presentation discusses the research of sensor synchronization, sensor grid routing, and voice over internet protocol (VoIP).

This presentation discusses miniature, lightweight, self-powered wireless sensors, and networking software needs.

This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation.

This paper discusses letter level learning for language independent diacritics restoration.

This paper discusses building multilingual semantic networks.

This technical report addresses how to hide secrets from an operating system. The authors provide a detailed design for the VM blackbox and some microarchitecture level simulation derived performance data. They also describe a compiler directed prefetch scheme that uses both instruction and data prefetches to obfuscate the address traces on the address bus between on-chip L2 cache and memory.

This paper discusses efficient energy saving techniques for on-chip caches, focusing especially on drowsy cache schemes.

This paper discusses Natural Language Processing (NLP).

This paper discusses investigations in unsupervised back-of-the-book indexing.

In this paper, the authors summarize the main theories of humor that emerged from philosophical and modern psychological research, and survey the past and present developments in the fields of theoretical and computational linguistics.

This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.

This paper discusses BABYLON parallel text builder.

This paper discusses learning to identify emotions in text.

This paper describes an algorithm for open text shallow semantic parsing.

This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.

This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.

This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.

This article discusses channel assignment in an IEEE 802.11 WLAN based on signal-to-interference ratio.

This article discusses the effect of an enhanced channel assignment algorithm on an IEEE 802.11 WLAN.