Results 201 to 210 of about 7,156,184 (249)

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

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Activity recognition of the elderly

Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems, 2010
The development of context aware services is one proposed way to support independent living for the elderly. Performing test scenarios with the elderly helps when developing the context aware services. However, rigorous testing is not always desirable when working with elderly subjects. Our research proposes to capture the activity data of the subjects
Matti Pouke, Seamus Hickey, Tomohiro Kuroda, Haruo Noma   +3 more
openaire   +2 more sources

From Activity Recognition to Situation Recognition

2013
Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety ...
Lee, D., Helal, Sumi
openaire   +1 more source

Active object recognition

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object.
David Wilkes, John K. Tsotsos
openaire   +1 more source

Recognition of Continuous Activities

2002
The recognition of continuous human activities performed with several limbs is still an open problem. We propose a novel approach for recognition of continuous activities, which considers the direction change between frames to track the motion of several limbs and uses a Bayesian network to recognize different activities.
Rocío Díaz de León, Luis Enrique Sucar   +1 more
openaire   +1 more source

Analyzing features for activity recognition

Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies, 2005
Human activity is one of the most important ingredients of context information. In wearable computing scenarios, activities such as walking, standing and sitting can be inferred from data provided by body-worn acceleration sensors. In such settings, most approaches use a single set of features, regardless of which activity to be recognized.
Tâm Huynh, Bernt Schiele
openaire   +3 more sources

Recognition of Activities of Daily Living

2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
This paper presents a new method for human action recognition which exploits advantages of both trajectory and space-time based approaches in order to identify action patterns in given sequences. Videos with both a static and moving camera can be tackled, where camera motion effects are overcome via motion compensation.
Konstantinos Avgerinakis, Alexia Briassouli, Ioannis Kompatsiaris   +2 more
openaire   +1 more source

Transinformation for active object recognition

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002
This article develops an analogy between object recognition and the transmission of information through a channel based on the statistical representation of the appearances of 3D objects. This analogy provides a means to quantitatively evaluate the contribution of individual receptive field vectors, and to predict the performance of the object ...
Bernt Schiele, James L. Crowley
openaire   +2 more sources

Active Sensing in Human Activity Recognition

2017
This work studies the problem of reducing the energy consumption of wearable sensors in a Human Activity Recognition (HAR) system. A HAR system is implemented using Hidden Markov Models, where decisions over the acquisition of new data are made based on the entropy of the posterior distribution of the activities. This problem is intractable in general,
Alfredo Nazábal, Antonio Artés-Rodríguez   +1 more
openaire   +2 more sources

Recognition of Human Activities

2011
Computer Vision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the early 1960s. At the time, it was thought to be an easy problem with a solution probably possible over a summer.
openaire   +1 more source