Difference: MiOverview (1 vs. 4)

Revision 4

25 Jun 2014 - rff22

Line: 1 to 1
	The Machine Intelligence Laboratory (formerly known as the Speech, Vision and Robotics group) was founded by the late Professor Frank Fallside in the early 1970's, when the main interests
Line: 15 to 15
	computational geometry, Wiener and Kalman filtering, classification and regression trees, and genetic algorithms.
Deleted:
< <	A full list of research projects is given elsewhere , but the principal areas of interest are as follows: Neural networks, pattern recognition and machine learning, including multi-layer perceptrons, radial basis functions, and recurrent networks. Signal processing, non-stationary time-series analysis, speech coding and compression. Speech recognition using both neural networks and hidden Markov Models. This includes large vocabulary recognition, recognition in noise, speaker adaptation and word spotting. Language processing including N-grams, stochastic context-free grammars, grammatical inference, dictionary construction. Statistical machine translation Image processing and object recognition, including 3-D reconstruction from 2-D images, image segmentation, and face recognition. Visual navigation of mobile robots and task level and sensor-based robot control within an unstructured environment. Aspects of robot assembly including path planning, hand-eye coordination and quality inspection using computer vision, man-machine interfaces using visual gestures. Aspects of medical imaging, including the acquisition, visualisation, registration and segmentation of 3D ultrasound images for medical diagnosis. Risk analysis in various aspects of health care.
	In addition to supporting a large post-graduate research activity, the Machine Intelligence Laboratory is also responsible for a Masters course in Advanced Computer Science

Revision 3

02 Aug 2013 - rff22

Line: 1 to 1
	The Machine Intelligence Laboratory (formerly known as the Speech, Vision and Robotics group) was founded by the late Professor Frank Fallside in the early 1970's, when the main interests
Line: 16 to 16
	and regression trees, and genetic algorithms. A full list of research projects is given
Changed:
< <	elsewhere , but the principle areas of interest
> >	elsewhere , but the principal areas of interest
	are as follows: Neural networks, pattern recognition and machine learning, including multi-layer perceptrons, radial basis functions, and recurrent networks.

Revision 2

06 Oct 2011 - rff22

Line: 1 to 1
	The Machine Intelligence Laboratory (formerly known as the Speech, Vision and Robotics group) was founded by the late Professor Frank Fallside in the early 1970's, when the main interests
Line: 15 to 16
	and regression trees, and genetic algorithms. A full list of research projects is given
Changed:
< <	elsewhere , but the principle areas of interest
> >	elsewhere , but the principle areas of interest
	are as follows: Neural networks, pattern recognition and machine learning, including multi-layer perceptrons, radial basis functions, and recurrent networks. Signal processing, non-stationary time-series analysis, speech coding and compression. Speech recognition using both neural networks and hidden Markov Models. This includes large vocabulary recognition, recognition in noise, speaker adaptation and word spotting. Language processing including N-grams, stochastic context-free grammars, grammatical inference, dictionary construction.
Added:
> >	Statistical machine translation
	Image processing and object recognition, including 3-D reconstruction from 2-D images, image segmentation, and face recognition. Visual navigation of mobile robots and task level and sensor-based robot control within an unstructured environment. Aspects of robot assembly including path planning, hand-eye coordination and quality inspection using computer vision, man-machine interfaces using visual gestures.
Line: 30 to 32
	In addition to supporting a large post-graduate research activity, the Machine Intelligence Laboratory is also responsible for a
Changed:
< <	Masters course in Computer Speech, Text and Internet Technology
> >	Masters course in Advanced Computer Science
	and undergraduate teaching in the areas of computing and pattern processing. The Masters course is a one year course run jointly with the Computer Laboratory. It has an annual enrolment of around 20

View topic | History: r4 < r3 < r2 < r1 | More topic actions...

No permission to view System.WebBottomBarExample