Results 1 - 10 of 121

Evaluation of interactive visualization on mobile computing platforms for selection of deep brain stimulation parameters

by Christopher R. Butson, Georg Tamm, Sanket Jain, Thomas Fogal - IEEE Trans. Vis. Comput. Graph , 2012
"... Abstract—In recent years there has been significant growth in the use of patient-specific models to predict the effects of neuromodulation therapies such as deep brain stimulation (DBS). However, translating these models from a research environment to the everyday clinical workflow has been a challe ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
challenge, primarily due to the complexity of the models and the expertise required in specialized visualization software. In this paper, we deploy the interactive visualization system ImageVis3D Mobile, which has been designed for mobile computing devices such as the iPhone or iPad, in an evaluation

Simultaneous visual recognition of manipulation actions and manipulated objects

by Hedvig Kjellström, Javier Romero, David Martínez, Danica Kragić - In ECCV , 2008
"... Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a human. In this paper, a method for classifying manipulation actions in the context of the objects manipulated, and classif ..."
Abstract - Cited by 40 (4 self) - Add to MetaCart
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a human. In this paper, a method for classifying manipulation actions in the context of the objects manipulated

Modeling Individual and Group Actions in Meetings with Layered HMMs

by Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain McCowan, Guillaume Lathoud - IEEE TRANS. ON MULTIMEDIA , 2004
"... We address the problem of recognizing sequences of human interaction patterns in meetings, with the goal of structuring them in semantic terms. The investigated patterns are inherently group-based (defined by the individual activities of meeting participants, and their interplay), and multimodal (as ..."
Abstract - Cited by 61 (10 self) - Add to MetaCart
(as captured by cameras and microphones). By defining a proper set of individual actions, group actions can be modeled as a two-layer process, one that models basic individual activities from low-level audio-visual features, and another one that models the interactions. We propose a two-layer Hidden

Modeling individual and group actions in meetings: a two-layer HMM framework

by Dong Zhang, Daniel Gatica-perez, Samy Bengio, Iain Mccowan, Guillaume Lathoud - In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Workshop on Event Mining in Video (CVPREVENT), Washington DC , 2004
"... We address the problem of recognizing sequences of human interaction patterns in meetings, with the goal of structuring them in semantic terms. The investigated patterns are inherently group-based (defined by the individual activities of meeting participants, and their interplay), and multimodal (as ..."
Abstract - Cited by 57 (14 self) - Add to MetaCart
(as captured by cameras and microphones). By defining a proper set of individual actions, group actions can be modeled as a two-layer process, one that models basic individual activities from low-level audio-visual features, and another one that models the interactions. We propose a two-layer Hidden

Visual Segmentation Without Classification in a Model of the Primary Visual Cortex

by Zhaoping Li , 1997
"... Stimuli outside classical receptive fields significantly influence the neurons' activities in primary visual cortex [1, 2, 3, 4, 5]. We propose that such contextual influences are used to segment regions by detecting the breakdown of homogeneity or translation invariance in the input, thus comp ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
computing global region boundaries using local interactions. This is implemented in a biologically based model of V1, and demonstrated in examples of texture segmentation and figure-ground segregation. By contrast with traditional approaches, segmentation occurs without classification or comparison

Objective Laparoscopic Skills Assessments of Surgical Residents Using Hidden Markov Models Based on Haptic Information and Tool/Tissue Interactions

by Jacob Rosen, Massimiliano Solazzo, Blake Hannaford, Mika Sinanan , 2001
"... Laparoscopic surgical skills evaluation of surgery residents is usually a subjective process, carried out in the operating room by senior surgeons. By its nature, this process is performed using fuzzy criteria. The objective of the current study was to develop and assess an objective laparoscopic ..."
Abstract - Cited by 29 (3 self) - Add to MetaCart
laparoscopic surgical skill scale using Hidden Markov Models (HMM) based on haptic information, tool/tissue interactions and visual task decomposition. Methods: Eight subjects (six surgical trainees: first year surgical residents 2xR1, third year surgical residents 2xR3 fifth year surgical residents 2xR5

The hippocampal/parahippocampal regions and recognition memory: insights from visual paired

by Sarah Nemanic, Maria C. Alvarado, Jocelyne Bachevalier - 29(9):2794–2804 Kazama and Bachevalier • Damage to OFC Subregions Spared Reversal , 2004
"... Recognition memory was assessed by submitting the same adult monkeys to visual paired comparison (VPC) with mixed delays (10 –120 sec), followed by three consecutive versions of object-delayed nonmatching-to-sample (DNMS): increasing delays (10 – 600 sec), lengthened lists (3–10 objects), and interv ..."
Abstract - Cited by 19 (1 self) - Add to MetaCart
familiarity. This proposal converges with current models postulating distinct, but interactive, mnemonic roles for the hippocampal and adjacent TH/TF regions. Key words: familiarity; recollection; perirhinal; associative recognition; incidental learning; intentional learning

Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based Control

by Helen Vassilakis, A. Jonathan Howell, Hilary Buxton - Control, Proceedings of the Int. Gesture Workshop 2001 , 2001
"... In Visually Mediated Interaction (VMI) there is a range of tasks that need to be supported (face and gesture recognition, camera controlled by gestures, visual interaction etc). These tasks vary in complexity: some can be predefined for supervised learning, some need self-organisation, some need gen ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
generative models to be learned. Generative models may offer strong advantages in cases where a higher degree of generalization is needed. They have the potential of understanding" the gesture independent from the individual differences on the performance of a gesture. This paper presents a comparison

Learning Topic Models for Multi-Application User Interest Modeling

by Sampath Jayarathna, Atish Patra, Frank Shipman , 2014
"... Abstract—A user often interacts with multiple applications while working on a task. User models can be developed individually at each of the individual applications but there is no easy way to come up with a more complete user model which is important for User Modeling systems. To address this issue ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
to help generate personalized visualizations for user’s search tasks. Based on 1267 user annotations from 17 users, we show the performance comparisons of Non-negative Matrix Factorization (NMF) model with Latent Dirichlet Allocation (LDA) topic models: LDA+TopN=1, and LDA+TopN=2.

The effect of observational learning on students' performance, processes, and motivation in two creative domains

by Talita Groenendijk , Tanja Janssen , Gert Rijlaarsdam , Huub Van Den Bergh
"... Background. Previous research has shown that observation can be effective for learning in various domains, for example, argumentative writing and mathematics. The question in this paper is whether observational learning can also be beneficial when learning to perform creative tasks in visual and ve ..."
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Background. Previous research has shown that observation can be effective for learning in various domains, for example, argumentative writing and mathematics. The question in this paper is whether observational learning can also be beneficial when learning to perform creative tasks in visual
Results 1 - 10 of 121