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647
Diversifying Search Results
, 2009
"... We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one category according to this taxonomy. We present a systematic approach to diversifying results that aims to minimize the r ..."
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Cited by 283 (5 self)
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the risk of dissatisfaction of the average user. We propose an algorithm that well approximates this objective in general, and is provably optimal for a natural special case. Furthermore, we generalize several classical IR metrics, including NDCG, MRR, and MAP, to explicitly account for the value
Geodesic Active Contours
, 1997
"... A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both in ..."
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Cited by 1425 (47 self)
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A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
 In Research and Development in Information Retrieval
, 1999
"... Humanquality text summarization systems are difficult to design, and even more difficult to evaluate, in part because documents can differ along several dimensions, such as length, writing style and lexical usage. Nevertheless, certain cues can often help suggest the selection of sentences for incl ..."
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Cited by 236 (7 self)
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Humanquality text summarization systems are difficult to design, and even more difficult to evaluate, in part because documents can differ along several dimensions, such as length, writing style and lexical usage. Nevertheless, certain cues can often help suggest the selection of sentences
Toric Geometry, Sasaki–Einstein Manifolds and a new Infinite Class of AdS/CFT duals
"... Recently an infinite family of explicit Sasaki–Einstein metrics Y p,q on S 2 × S 3 has been discovered, where p and q are two coprime positive integers, with q < p. These give rise to a corresponding family of Calabi–Yau cones, which moreover are toric. Aided by several recent results in toric ge ..."
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Cited by 173 (15 self)
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Recently an infinite family of explicit Sasaki–Einstein metrics Y p,q on S 2 × S 3 has been discovered, where p and q are two coprime positive integers, with q < p. These give rise to a corresponding family of Calabi–Yau cones, which moreover are toric. Aided by several recent results in toric
Classical Floorplanning Harmful?
"... Classical floorplanning formulations may lead researchers to solve the wrong problems. This paper points out several examples, including (i) the preoccupation with packingdriven, as opposed to connectivitydriven, problem formulations and benchmarking standards; (ii) the preoccupation with rectangu ..."
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Cited by 43 (2 self)
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Classical floorplanning formulations may lead researchers to solve the wrong problems. This paper points out several examples, including (i) the preoccupation with packingdriven, as opposed to connectivitydriven, problem formulations and benchmarking standards; (ii) the preoccupation
Metrical Quantization ∗
, 2008
"... Canonical quantization may be approached from several different starting points. The usual approaches involve promotion of cnumbers to qnumbers, or path integral constructs, each of which generally succeeds only in Cartesian coordinates. All quantization schemes that lead to Hilbert space vectors ..."
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and Weyl operators—even those that eschew Cartesian coordinates—implicitly contain a metric on a flat phase space. This feature is demonstrated by studying the classical and quantum “aggregations”, namely, the set of all facts and properties resident in all classical and quantum theories, respectively
Metric Databases
"... not yet in a mature state. The end users do not have the equivalent of a full DBMS for multimedia indexing. There is, however, at least one rather robust, open source implementation of an index for metric spaces [6]. 1 Applications of Metric Databases Although retrieving multimedia data is one of ..."
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of the main applications for metric databases, these extend well beyond. We describe now several of those [5]. Query by Content in Multimedia Objects. New data types such as images, fingerprints, audio and video (called "multimedia" data types) cannot be meaningfully queried in the classical sense
On information rates for mismatched decoders
 IEEE Trans. Inf. Theory
, 1994
"... Abstract Reliable transmission over a discretetime memoryless channel with a decoding metric that is not necessarily matched to the channel (mismatched decoding) is considered. It is assumed that the encoder knows both the true channel and the decoding metric. The lower bound on the highest achiev ..."
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Cited by 105 (10 self)
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of memoryless channels with continuous input and output alphabets, and is used to calculate C,, explicitly for several examples of theoretical and practical interest. Finally, it is demonstrated that in contrast to the classical matched decoding case, here, under the mismatched decoding regime, the highest
An Exact Probability Metric for Decision Tree Splitting
 Machine Learning
, 1997
"... ID3's information gain heuristic is wellknown to be biased towards multivalued attributes. This bias is only partially compensated by the gain ratio used in C4.5. Several alternatives have been proposed, notably orthogonality and Beta. Gain ratio and orthogonality are strongly correlated, and ..."
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Cited by 38 (3 self)
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, and all of the metrics share a common bias towards splits with one or more small expected values, under circumstances where the split likely ocurred by chance. Both classical and Bayesian statistics lead to the multiple hypergeometric distribution as the posterior probability of the null hypothesis. Both
Novel metrics for feature extraction stability in protein sequence classication
, 2011
"... Feature extraction is an unavoidable task, especially in the critical step of preprocessing biological sequences. This step consists for example in transforming the biological sequences into vectors of motifs where each motif is a subsequence that can be seen as a property (or attribute) characteriz ..."
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) characterizing the sequence. Hence, we obtain an objectproperty table where objects are sequences and properties are motif extracted from sequences. This output can be used to apply standard machine learning tools to perform data mining tasks such as classification. Several previous works have described feature
Results 1  10
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647