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This work presents an Offline Cursive Word Recognition System dealing with single writer samples. The system is a continuous density hiddden Markov model trained using either the raw data, or data transformed using Principal Component Analysis or Independe ...
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supe ...
For classification problems, it is important that the classifier is trained with data which is likely to appear in the future. Discriminative models, because of their nature to focus on the boundary between classes rather than data itself, usually do not h ...
This diploma thesis describes the development of an interactive spatial service for the winegrowers in the Swiss canton de Vaud. The users can consult an interactive map containing different themes important for the wine-cultivation. Further the winegrower ...
This paper presents a survey on Off-Line Cursive Script Recognition. The approaches to the problem are described into detail. Each step of the process leading from raw data to the final result is analyzed.\ This survey is divided into two parts, the first ...
This work presents an Offline Cursive Word Recognition System dealing with single writer samples. The system is a continuous density hiddden Markov model trained using either the raw data, or data transformed using Principal Component Analysis or Independe ...
This paper presents an application where an integrated GPS/IMU system is used for land survey (mounted on a van), providing a significant improvement on the efficiency of the road status monitoring process. Being initially developed for aircraft navigation ...
Automatic speech recognition (ASR) performance falls dramatically with the level of mismatch between training and test data. The human ability to recognise speech when a large proportion of frequencies are dominated by noise has inspired the "missing data" ...
The derivatization of neutral transition metal carbonyl clusters with an alkoxide anion, [Mn(CO)xOR]- is discussed. The electrospray ionization mass spectrometry technique is used for the purpose. Control of the potential applied to the skimmer cone of the ...
Automatic speech recognition (ASR) performance falls dramatically with the level of mismatch between training and test data. The human ability to recognise speech when a large proportion of frequencies are dominated by noise has inspired the "missing data" ...
