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Results 11 - 20
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4,307
Sentiwordnet: A publicly available lexical resource for opinion mining
- In In Proceedings of the 5th Conference on Language Resources and Evaluation (LRECÕ06
, 2006
"... Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products ..."
Abstract
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Cited by 376 (5 self)
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Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about
Efficient Filtering of XML Documents for Selective Dissemination of Information
, 2000
"... Information Dissemination applications are gaining increasing popularity due to dramatic improvements in communications bandwidth and ubiquity. The sheer volume of data available necessitates the use of selective approaches to dissemination in order to avoid overwhelming users with unnecessaryi ..."
Abstract
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Cited by 364 (17 self)
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with unnecessaryinformation. Existing mechanisms for selective dissemination typically rely on simple keyword matching or "bag of words" information retrieval techniques. The advent of XML as a standard for information exchangeand the development of query languages for XML data enables the development of more
Enhancing Access Privacy of Range Retrievals Over B+-trees
"... Users of databases that are hosted on shared servers cannot take for granted that their queries will not be disclosed to unauthorized parties. Even if the database is encrypted, an adversary who is monitoring the I/O activity on the server may still be able to infer some information about a user qu ..."
Abstract
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Cited by 1 (1 self)
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the adversary from pinpointing the exact nodes retrieved by range queries. PB +-tree can be tuned to balance its privacy strength with the computational and I/O overheads incurred. Moreover, it can be adapted to protect access privacy in cases where the attacker additionally knows a priori the access
A General Language Model for Information Retrieval
- In Proceedings of the 1999 ACM SIGIR Conference on Research and Development in Information Retrieval
, 1999
"... Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information retrieval. According to this new paradigm, each document is viewed as a language sample, and a query as a generation proce ..."
Abstract
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Cited by 243 (15 self)
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process. The retrieved documents are ranked based on the probabilities of producing a query from the corresponding language models of these documents. In this paper, we will present a new language model for information retrieval, which is based on a range of data smoothing techniques, including the Good
The MODIS aerosol algorithm, products, and validation,
- J. Atmos. Sci.,
, 2005
"... ABSTRACT The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard both NASA's Terra and Aqua satellites is making near-global daily observations of the earth in a wide spectral range (0.41-15 m). These measurements are used to derive spectral aerosol optical thickness and aerosol size ..."
Abstract
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Cited by 247 (27 self)
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ABSTRACT The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard both NASA's Terra and Aqua satellites is making near-global daily observations of the earth in a wide spectral range (0.41-15 m). These measurements are used to derive spectral aerosol optical thickness and aerosol size
Deploying a wireless sensor network on an active volcano
- IEEE Internet Computing
, 2006
"... Augmenting heavy and power-hungry data collection equipment with lighter, smaller wireless sensor network nodes leads to faster,larger deployments. Arrays comprising dozens of wireless sensor nodes are now possible,allowing scientific studies that aren’t feasible with traditional instrumentation. De ..."
Abstract
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Cited by 253 (4 self)
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. Designing sensor networks to support volcanic studies requires addressing the high data rates and high data fidelity these studies demand. The authors ’ sensor-network application for volcanic data collection relies on triggered event detection and reliable data retrieval to meet bandwidth and data
Fractals for Secondary Key Retrieval
"... In this paper we propose the use of fractals and especially the Hilbert curve, in order to design good distance-preserving mappings. Such mappings improve the performance of secondary-key- and spatial- access methods, where multi-dimensional points have to be stored on an 1-dimensional medium (e.g., ..."
Abstract
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Cited by 160 (16 self)
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.g., disk). Good clustering reduces the number of disk accesses on retrieval, improving the response time. Our experiments on range queries and nearest neighbor queries showed that the proposed Hilbert curve achieves better clustering than older methods ("bit-shuffling", or Peano curve
Optimizing learning in image retrieval
- in Proc. IEEE ICCVPR
, 2000
"... Combining learning with vision techniques in interactive image retrieval has been an active research topic during the past few years. However, existing learning techniques either are based on heuristics or fail to analyze the working conditions. Furthermore, there is almost no in depth study on how ..."
Abstract
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Cited by 161 (13 self)
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explicit solutions, which are both optimal and fast to compute. Extensive comparisons against state-ofthe-art techniques have been performed. Experiments were carried out on a large-size heterogeneous image collection consisting of 17,000 images. Retrieval performance was tested under a wide range
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
- In Proc. BMVC
, 2000
"... `Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then described by a set of invariant features, which makes it relatively easy to match them between views and under changing illum ..."
Abstract
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Cited by 218 (7 self)
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illumination. In previous work, we have presented invariant regions that are based on a combination of corners and edges. The application discussed then was image database retrieval. Here, an alternative method for extracting (affinely) invariant regions is given, that does not depend on the presence of edges
A sparse texture representation using local affine regions
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2005
"... This article introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and non-rigid deformations. At the feature extraction stage, a sparse set of affine Harris and Laplacian regions is found in the im ..."
Abstract
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Cited by 210 (15 self)
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This article introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and non-rigid deformations. At the feature extraction stage, a sparse set of affine Harris and Laplacian regions is found
Results 11 - 20
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4,307
