Plsa PowerPoint PPT Presentations

1.Feature detection and representation. Slide credit: Josef Sivic ... Graphical representation of a mixture model. x. z. C. Bishop ...

Policy document 'truly owned by the Government of Mongolia' ... Women in Mongolia: Mapping Progress under Transition, UNIFEM (2000) -PLSA, NSO (2001) ...

Decompose the prosodic keyword-speaker co-occurrence matrix using LSA or PLSA to ... Prosodic features, which are known to carry the speaker information and to be ...

... for Latent Semantic Analysis. Jen-Tzung Chien, Meng-Sun Wu and Chia-Sheng Wu ... Chia-Sheng Wu, 'Bayesian Latent Semantic Analysis for Text Categorization and ...

Inference How to make decision on a novel image ... Blei et al Unsupervised Learning by Probabilistic Latent Semantic Analysis, T. Hoffman A Bayesian Hierarchical ...

Title: Artificial Immune Systems: An Emerging Technology Author: Computing Laboratory Last modified by: klopotek Created Date: 3/27/2001 8:49:50 AM

Discovering objects and their location in images ... Bag-of-words approaches: the order of words in a document can be neglected. Graphical Model Fun ...

Evaluation: Perplexity Comparison. Perplexity Log-averaged inverse ... High probability will give lower perplexity, thus good predictions. MED data. 10/5/09 ...

... annotated images of objects like cars, motorbikes etc. ... R. Zhang and Z. Zhang. Hidden semantic concept discovery in region based image retrieval. 2004. ...

LSI puts documents together even if they don't have common words if. The docs share frequently co-occurring terms. Disadvantages: Statistical foundation is missing ...

Inferring Conceptual Knowledge from Unstructured Student Writing Workshop: Personalizing Education with Machine Learning Neural Information Processing Systems (NIPS ...

Semantic Shift for Unsupervised Categorization and Localization

... brain; the cerebral cortex was a movie screen, so to speak, upon which the image ... Background: Hoffman 2001, Blei, Ng & Jordan, 2004 ...

Perplexity Comparison (1/2) What is perplexity? Indicator ... High probability will give lower perplexity, thus good predictions. Perplexity Comparison (2/2) ...

Documents on different genes touch different aspects ... Measured results by class entropy, cluster entropy, and their average. Document Retrieval ...

Codeword distributions. per topic (class) (M K) Class distributions. per image (K N) ... number of codewords. N ... number of images. Slide credit: Josef Sivic ...

Procesy decyzyjne w aktywnym wyszukiwaniu informacji w Internecie Mieczys aw K opotek, Arkadiusz Dzier anowski, Marcin Brz ska, Mariusz Kujawiak

sentiment mining based on Probabilistic Latent Semantic Analysis ... predicting sales performance using sentiment information mined form blogs ...

Provide an overview of topic models and their learning techniques. Mixture ... Convince you that topic models are an attractive framework for community analysis ...

Predictively Modeling Social Text William W. Cohen Machine Learning Dept. and Language Technologies Institute School of Computer Science Carnegie Mellon University

Semantic Web technologies, formal knowledge representation, logical reasoning, and etc ... Bird subclass of Animal; Sparrow is-a Bird ...

... brain; the cerebral cortex was a movie screen, so to speak, upon which the image ... Background: Hoffman 2001, Blei et al. 2004 ...

Category Discovery from the Web credit Fei-Fei et. al. How many object categories are there? Biederman 1987 credit Fei-Fei et. al. Existing datasets ...

... the cerebral cortex was a movie screen, so to speak, upon ... Hoffman, 2001. Blei, Ng & Jordan, 2004 Latent Dirichlet Allocation. Object categorization: ...

Generative Models

Lecture 5: Probabilistic Latent Semantic Analysis. Ata Kaban. The University of Birmingham ... They are latent. How to find out topics from the words in an ...

From Bits to Information Maschinelle Lernverfahren in Information Retrieval und Web Mining Thomas Hofmann Department of Computer Science Brown University

... a novel adaptation scheme for the cross-lingual adaptation. of SCHMM. ... The method is proven to perform well in two cross-lingual test scenarios (reduction ...

Brown University. www.cs.brown.edu/people/th (& Chief Scientist, RecomMind Inc. ... CS Department, Brown University, Providence RI, th@cs.brown.edu ...

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Acknowledgements ... 2004 to 2006: Postdoc in the Text Mining, Search, ... {dog, canine, doggy, puppy, etc.} concept 112986. I deposited my check in the bank. ...

Step 3: Classification Learn a decision rule (classifier) assigning bag-of-features representations of images to different classes Decision boundary

... U VT, ui,k = P(ui | zk), k,k = P(zk), vj,k = P(ij | zk) M = U VT M' = U 'VT ... representing items the user already rated; the user's rating = given class label ...

ODTUG 2006 Washington DC. 17-06-2006 21-06-2006. Alex ... Rebranded to BI-Publisher. Monday 19-06-2006. SQL Games we can play in PL/SQL [Steven Feuerstein] ...

Efficient Image Retrieval Methods For Large Scale Dynamic Image Databases

For investors, retirees and particularly expats with varied investment and pension products, potentially in more than one country, it is important to understand what this means for the costs of retirement – and the returns you might expect to achieve on your pension funds.

Strategies For An Intelligent Search Tool

Lecture 9 Bag of Words models

La machine parall le MPC1 Hardware, protocoles et performances Universit P. & M. Curie (PARIS) Laboratoire d Informatique de PARIS6 Olivier Gl ck

football. The. Pittsburgh. Steelers. b. won. Box is shorthand for many repetitions of the structure... Cd ~ Mult( | ) = football' For each position ...

Which allows relationships over hidden features to be effectively captured ... set, that function which has the highest entropy (i.e. the 'flattest' function) ...

Foreground Focus: Finding Meaningful Features in Unlabeled Images

EM algorithm reading group What is it? When would you use it? Why does it work? How do you implement it? Where does it stand in relation to other methods?

Les enfants de la rue partageant du jus apr s une formation de pairs ducateurs ... Garantir la survie le jour o vous allez les. entretenir ou les former. Les enfants de la ...

Further work and evaluation study on lexical entailment and reference (EMNLP 2006) ... learning for standard text categorization datasets, taking only category ...

(Flikr social tagging system) Personalization with clusters. Programmimg. URL. Programmimg ... Clustering is an effective means for overcoming tag ambiguity ...

Title: ICCV 2005 Beijing, Short Course, Oct 15 Author: Rob Fergus Last modified by: Marco Cristani Created Date: 10/15/2005 4:03:13 AM Document presentation format

football. The. Pittsburgh. Steelers. b. won. Box is shorthand for many repetitions of the structure... News-related blogosphere is driven by recency ...

Title: ICCV 2005 Beijing, Short Course, Oct 15 Author: Rob Fergus Last modified by: Marco Cristani Created Date: 10/15/2005 4:03:13 AM Document presentation format

Spatial Layout. These two images are the same to the multi-topic model! ... Use multiple images to discover the interesting properties within them ...

Visual Analytics Education. Stuart Card. PARC. VAST. Baltimore, MD. 2 ... Rasmussen's cognitive engineering) Models of human activity (eg, open procedures) ...

Une carte r seau PCI (FastHSL) d velopp e au LIP6 : Liens s rie, point point (HSL,1 ... couches logicielles les plus performantes au niveau applicatif (MPI) ...

ICCV 2005 Overview

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