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FACETAG: INTEGRATING BOTTOM-UP AND TOP-DOWN CLASSIFICATION IN A SOCIAL TAGGING SYSTEM 1 FaceTag: Integrating Bottom-up and Top-down Classification in a Social Tagging System

by E. Resmini, A. Rosati
"... Abstract – Facetag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords ' space of tags can be effectively mixed with a richer faceted classification scheme ..."
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-users. Facetag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications. Index Terms – Social classification, folksonomy, tagging, faceted classification, information architecture.

Abstract E. Quintarelli, A. Resmini, L. Rosati- FaceTag: Integrating Bottom-up and Top-down Classification in a Social Tagging System Facetag: Integrating Bottom-up and Top-down Classification in a Social Tagging System (*)

by Emanuele Quintarelli
"... FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords ' space created by users while tagging can be effectively mixed with a richer faceted classifica ..."
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between tags. FaceTag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications. Author Keywords Information architecture, classification, faceted classification, social classification, folksonomy, tagging.

Facetag: Integrating Bottom-up and Top-down Classification in a Social Tagging System

by Emanuele Quintarelli, Andrea Resmini, Luca Rosati
"... Abstract — FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords ' space created by users while tagging can be effectively mixed with a richer faceted ..."
Abstract - Cited by 14 (0 self) - Add to MetaCart
Abstract — FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords ' space created by users while tagging can be effectively mixed with a richer

Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering

by Chihli Hung, Stefan Wermter, Peter Smith
"... In this paper, we explore the hypothesis that integrating symbolic top-down knowledge into text vector representations can improve neural exploratory bottom-up representations for text clustering. By extracting semantic rules from WordNet, terms with similar concepts are substituted with a more ..."
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In this paper, we explore the hypothesis that integrating symbolic top-down knowledge into text vector representations can improve neural exploratory bottom-up representations for text clustering. By extracting semantic rules from WordNet, terms with similar concepts are substituted with a more

Integrating Bottom-Up into Top-Down: A Mixed Complementarity Approach. Discussion Paper No

by Christoph Böhringer , Thomas F Rutherford , Christoph Böhringer , Thomas F Rutherford , Christoph Böhringer , Thomas F Rutherford , 2005
"... Die Discussion Papers dienen einer möglichst schnellen Verbreitung von neueren Forschungsarbeiten des ZEW. Die Beiträge liegen in alleiniger Verantwortung der Autoren und stellen nicht notwendigerweise die Meinung des ZEW dar. Discussion Papers are intended to make results of ZEW research promptly ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
richness in a single mathematical format. We then provide a stylized example of how to integrate bottom-up features into a top-down modeling framework along with worked examples and computer programs which illustrate our approach. JEL classification: C61, C68, D58, Q43

Knowledge integration in text recognition

by Sargur N. Srihari, Jonathan J. Hull - AAAI-82, Proceedings of the National Conference on Artificial Intelligence , 1982
"... The paper describes an algorithm based on AI techniques for recognizing words of printed or hand-written text--with the technique developed also applicable to cor-recting substitution spelling errors. The algorithm effectively integrates bottom-up information in the form of letter shapes, letter tra ..."
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transitional probabilities and letter classification-error probabilities together with top-down knowledge in the form of a lexicon of legal words repre-sented as a letter trie. Experimental re-sults with the algorithm are reported for the combined top-down and bottom-up ap-proach and for each of the two

KNOWLEDGE INTEGRATION IN TEXT RECOGNITrON

by Sargur N. Srihari, Jonathan J. Hulll
"... The paper describes an algorithm based on AI techniques for recognizing words of printed or hand-written text--with the technique developed also applicable to correcting substitution spelling errors. The algorithm effectively integrates bottom-up information in the form of letter shapes, letter tran ..."
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transitional probabilities and letter classification-error probabilities together with top-down knowledge in the form of a lexicon of legal words represented as a letter trie. Experimental results with the algorithm are reported for the combined top-down and bottom-up approach and for each of the two

Object recognition by integrating multiple image segmentations

by Caroline Pantofaru, Cordelia Schmid, Martial Hebert - In Proceedings European Conference on Computer Vision , 2008
"... Abstract. The joint tasks of object recognition and object segmentation from a single image are complex in their requirement of not only correct classification, but also deciding exactly which pixels belong to the object. Exploring all possible pixel subsets is prohibitively expensive, leading to re ..."
Abstract - Cited by 51 (0 self) - Add to MetaCart
for using multiple segmentations of an image. In this paper, we explore the question of how to best integrate the information from multiple bottom-up segmentations of an image to improve object recognition robustness. By integrating the image partition hypotheses in an intuitive combined top-down and bottom-up

ECHO at the LSHTC Pascal Challenge 2

by Christophe Brouard , 2012
"... Abstract. A classification system called ECHO has been designed for our participation to the first LSHTC Pascal challenge. This system is based on a principle of echo. It computes the score of a document for a class by combining a bottom-up and top-down propagation of activation in a very simple neu ..."
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Abstract. A classification system called ECHO has been designed for our participation to the first LSHTC Pascal challenge. This system is based on a principle of echo. It computes the score of a document for a class by combining a bottom-up and top-down propagation of activation in a very simple

Manuscript submitted to IEEE Transactions on Medical Imaging. Do not distribute. Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification

by Jason J. Corso, Eitan Sharon, Shishir Dube, Suzie El-saden, Usha Sinha, Alan Yuille
"... Abstract — We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation methods and top-down generative model based approaches. The main contribution of the paper is a Bayesian formulation for i ..."
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Abstract — We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation methods and top-down generative model based approaches. The main contribution of the paper is a Bayesian formulation
Results 1 - 10 of 56