- A Boosted Particle Filter: Multitarget Detection and Tracking
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 5
- Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected
- Bayesian Methods for Neural Jo ao F. G. de Freitas
- Variational MCMC Nando de Freitas
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 4
- Rao-Blackwellised Particle Filtering for Fault Diagnosis Nando de Freitas
- The Sound of an Album Cover: Probabilistic Multimedia and IR Eric Brochu
- Multi-Robot Marginal-SLAM Ruben Martinez-Cantin and Jose A. Castellanos
- Bayesian Methods for Neural Jo~ao F. G. de Freitas
- UC Berkeley VARIATIONAL MCMC
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 3
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 3
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 1
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 3
- Robust Visual Tracking for Multiple Targets Yizheng Cai, Nando de Freitas, and James J. Little
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 5
- New inference strategies for solving Markov Decision Processes using reversible jump MCMC
- Inference and Learning for Active Sensing, Experimental Design and Control
- CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT
- Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 2
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 5
- Technical Report CUED/F-INFENG/TR 380 Cambridge University Engineering Department
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 2
- DYNAMICAL LEARNING WITH THE EM ALGORITHM FOR NEURAL NETWORKS
- RaoBlackwellised Particle Filtering for Dynamic Bayesian Networks Arnaud Doucet z
- From Fields to Trees Firas Hamze Nando de Freitas
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 2
- A Simple Tutorial on RBPF for DBNs Arnaud Doucet, Nando de Freitas, Kevin Murphy & Stuart Russell
- Fast Krylov Methods for N-Body Learning Nando de Freitas
- Learning attentional mechanisms for simultaneous object tracking and recognition with deep networks
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 4
- SEQUENTIAL MCMC FOR BAYESIAN MODEL SELECTION Christophe Andrieu -Nando De Freitas -Arnaud Doucet
- Noname manuscript No. (will be inserted by the editor)
- Technical Report TR-2010-04 University of British Columbia
- A Simple Tutorial on RBPF for DBNs Nando de Freitas, Arnaud Doucet, Kevin Murphy & Stuart Russell
- Nonparametric Bayesian Logic Peter Carbonetto, Jacek Kisynski, Nando de Freitas and David Poole
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 4
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 5
- On Autoencoders and Score Matching for Energy Based Models Kevin Swersky* kswersky@cs.ubc.ca
- Inference strategies for solving semi-Markov decision processes
- Technical Report TR-2010-06 University of British Columbia
- A Tutorial on Stochastic Approximation Algorithms for Training Restricted Boltzmann Machines and
- An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Rewards
- Target-directed attention: Sequential decision-making for gaze planning Julia Vogel and Nando de Freitas
- Active Preference Learning with Discrete Choice Data Anonymous Author(s)
- Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM
- Fast Particle Smoothing: If I Had a Million Particles Mike Klaas klaas@cs.ubc.ca
- N-Body Games Albert Xin Jiang, Kevin Leyton-Brown, Nando De Freitas
- Toward Practical N2 Monte Carlo: the Marginal Particle Filter
- Empirical Testing of Fast Kernel Density Estimation Algorithms Dustin Lang Mike Klaas
- From Fields to Trees Firas Hamze Nando de Freitas
- A Statistical Model for General Contextual Object Recognition
- Journal of VLSI Signal Processing 26, 119131, 2000 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands.
- LETTER Communicated by Steven Nowlan and Gerard Dreyfus Sequential Monte Carlo Methods to Train Neural Network
- Sequential Monte Carlo N d d F it & A d D tNando de Freitas & Arnaud Doucet
- Particle Methods for Change Detection, System Identification, and Control
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 3
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 3
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 3
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 3
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 4
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 5
- Information theory tools to rank MCMC algorithms on probabilistic graphical models
- The Sound of an Album Cover: Probabilistic Multimedia and IR Eric Brochu
- Intracluster Moves for Constrained Discrete-Space MCMC Firas Hamze
- SMC SAMPLERS FOR BAYESIAN OPTIMAL NONLINEAR DESIGN Hendrik Kuck, Nando de Freitas and Arnaud Doucet
- Fast Computational Methods for Visually Guided Robots Maryam Mahdaviani, Nando de Freitas, Bob Fraser and Firas Hamze
- PROCEEDINGS OF THE IEEE, SPECIAL ISSUE ON SEQUENTIAL STATE ESTIMATION, APRIL 2003 1 Diagnosis by a Waiter and a Mars Explorer
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 3
- The Unscented Particle Filter Rudolph van der Merwe
- Where to look? Nando de Freitas
- Active Policy Learning for Robot Planning and Exploration under Uncertainty
- Learning about individuals from group statistics Hendrik Kuck and Nando de Freitas
- A Semi-Supervised Learning Approach to Object Recognition with Spatial Integration of
- An Introduction to MCMC for Machine Learning Christophe Andrieu
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 4
- Sequential Monte Carlo Methods Nando De Freitas & Arnaud Doucet
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 5
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 2
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Homework # 1
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework 6: Sample Final Exam Questions
- Fast maximum a posteriori inference in Monte Carlo state spaces Mike Klaas Dustin Lang Nando de Freitas
- ESTIMATION AND CONTROL OF INDUSTRIAL PROCESSES WITH PARTICLE FILTERS
- LETTER Communicated by C. Lee Giles Hierarchical Bayesian Models for Regularization in
- SEQUENTIAL MONTE CARLO FOR MODEL SELECTION AND ESTIMATION OF NEURAL NETWORKS
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 1
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 1
- LETTER Communicated by Michael Jordan Robust Full Bayesian Learning for Radial Basis Networks
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 6
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 5
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Practice Homework # 6
- PROCEEDINGS OF THE IEEE, SPECIAL ISSUE ON SEQUENTIAL STATE ESTIMATION, APRIL 2003 1 Diagnosis by a Waiter and a Mars Explorer
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 4
- Preference Galleries for Material Design (sap 0537) Eric Brochu, Abhijeet Ghosh, Nando de Freitas
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework # 4
- CPSC320 Intermediate Algorithm Design and Analysis Winter 2000 Solutions to Homework # 4
- Realtime monitoring of complex industrial processes with particle filters
- Sequential Bayesian Semi-Parametric Binary Classi cation yChristophe Andrieu - Nando de Freitas -zArnaud Doucet
- A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference
- CPSC-320 Intermediate Algorithm Design and Analysis Winter 2000 Practice Homework 6: Sample Final Exam Questions
- Closed-Form Supervised Dimensionality Reduction with Logistic Regression
- Low-Rank Approximation for Link-Based Ranking Anonymous Author(s)
- Unsupervised K-means Feature Learning for Gesture Recognition with Conductive Fur
- PAQ on MIDI Anonymous Author(s)
- A Multi Armed Bandit Formulation of Cognitive Spectrum Access
- Breaking a Visual CAPTCHA Anonymous Author(s)1
- Simulation-free approach for wait time prediction in a tele-queue
- Democratic Echo State for Music Improvisation Anonymous Author(s)
- Learning the Best K-th Channel for QoS Provisioning in Cognitive Networks
- Bach to Basics: A Simple Evolutionary Approach To Music Composition
- EmbedViz -Graph Visualization of Learned Structured Embeddings of Knowledge Bases
- Adaptive Parallel Tempering MCMC Anonymous Author(s)
- Effectiveness of Sparse Features: An Application of Anonymous Author(s)
- SmartTitle: An Intelligent Subtitling System for Second Language Learning
- Subject-Oriented Image Classification based on Face Detection and Recognition
- Comparing Multifunctionality and Association Information when Classifying Oncogenes and Tumor
- A Novel Transcription Factor Binding Sites Prediction Approach
- Predictive Adaptation of Hybrid Monte Carlo with Bayesian Parametric Bandits
- Experiments with Learning for NPCs in 2D shooter Anonymous Author(s)
- Body Part Tracking with Random Forests and Particle Filters
- Using GPLVM for Inverse Kinematics on Non-cyclic Anonymous Author(s)
- Locating Error Sources in Digital Circuit Networks Anonymous Author(s)
- Application of sparse coding with spatial pyramid matching for face expression classification
- Authorship Attribution for Ancient Greek Text Fragments Using Support Vector Machines
- Predicting a Meteotsunami with Recurrent Neural Anonymous Author(s)
- Feature Selection for the Binary Classification of Severe-Sickness Experience in HIV-Exposed but
- Comparing Shape Features with Statistical Features for Classification Tasks on Physiological Data
- Predicting Length of Future Hospitalization Period: A Comparative Study
- Classifying ultraconserved elements with hidden Markov model of evolutionary profiles
- Transforming Auto-encoders Anonymous Author(s)
- Toward the Implementation of a Quantum RBM Misha Denil
- Robust deconvolution of natural images using multiple captures.
- Product Clustering for Online Crawlers Anonymous Author(s)