School of Computer Science and Engineering
Hebrew University of Jerusalem
daphna at cs huji ac il
Learning and Object Recongition
s, and you will please none' (Aesop)
EVAT: database of Emotionally evocative Video clips and their associated Affective Tagging
FIF: database of super Fine grained Israeli Flowers
(2018). Multi-Modal Generative Adversarial Networks.
(2018). Semantic change at large: A computational approach for semantic change research.
(2018). Mixture of Convolutional Neural Networks for Image Classification.
(2017). Automated Facial Expressions Analysis in Schizophrenia: a Continuous Dynamic Approach.
(2017). A Machine Learning Approach to Analysis of Biologger Data in Movement Ecology.
(2017). Distance-based Confidence Score for Neural Network Classifiers.
(2017). Face Verfication and Face Image Synthesis under Illumination Changes using Neural Networks.
(2016). Implicit Media Tagging and Affect Prediction from video of spontaneous facial expressions, recorded with depth camera.
(2016). Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels.
(2015). Multiclass Classification: Margins Revisited, Novelty Detection via Trees, and Visual Object Recognition with Sparse Features Derived from a Convolution Neural Net.
(2014). Scalable Streaming Learning of Dyadic Relationships.
(2014). Surrogate Loss Minimization
(2013). Hierarchical Modeling and Applications to Recognition Tasks.
(2013). Learning Distance Functions to Gain Insights into Functional Representations of Complex Objects in the Brain
(2013). Latent Dirichlet Allocation with Soft Assignment of Descriptors to Words
(2013). LDA Topic Model with Soft Assignment of Descriptors to Words
(2012). Identifying Surprising Events in Videos Using Bayesian Topic Models
(2012). Object Detection from Multiple Overlapping Views Using Semantic and Geometric Context in 3D
(2011). Extracting Foreground Masks towards Object Recognition
(2009). Generative Implementation of Hierarchical Novelty Detector
(2007). Learning Distance Functions with Applications in Image Retrieval, Clustering, Classification and Immunoinformatics
(2007). Feature Selection in Distance Learning from Small Sample
(2006). Learning from Weak Representations using Distance Functions and Generative Models
(2006). Virtual Reality for Diagnostic Assessment of Schizophrenia Deficits
(2006). Analyzing the Spatio-Temporal Domain: from View Synthesis to Motion Segmentation
(2005). Data Modeling with Gaussian Mixture Based Clustering: A Unifying View for Discriminative and Generative Clustering
(2005). Analyzing Auditory Neurons by Learning Distance Functions
(2005). Bayesian Clustering of non-stationary Data
(2004). From Unsupervised to Semi-Supervised Learning: Algorithms and Applications
(1999). Stochastic Clustering and its Applications to Computer Vision
(1997). Motion of disturbances: detection and tracking of multi-body non rigid motion
Category Learning from Equivalence Constraints
Identifying Surprising Events in Videos
Visual Object Recognition 2009 
Introduction to Computer Science 2009/10 
A few demos:
pointing target detection
Code (usually matlab):
- a boosting-based distance learning algorithm, see
Constrained EM algorithm:
(with BNT) and
Mahalanobis distance learning, see
clustering algorithm (in C), see
Relational model learning
- Clustering of non-stationary data, see
Computer and human vision
Machine and perceptual learning
My best results - Yael and Tom:
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