Titlebook: Indien: Wirtschaft, Verfassung, Politik; Entwicklungstendenze Joginder K. Malhotra Book 1990 Deutscher Universitäts-Verlag GmbH, Wiesbaden

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小教堂

Joginder K. Malhotraes within the skin colored regions. The color features used are discretized chrominance components in HSI, YCbCr color spaces, and similarity-to-skin map. The hand postures are classified using shape and texture features, with a support vector machines classifier. The NUS hand posture dataset-II wit

死亡

Joginder K. Malhotramations. The patterns are classified through a voting process. Both the feature selection and classification algorithms have polynomial time complexity. The algorithm is tested in two types of classification problems, namely, cancer and image-pattern classification. The large number of gene expressi

偏狂症

Joginder K. Malhotran shirt as an input device to capture the residual signals arising from the patient‘s body. In our second experiment, we have used a precision position tracking (PPT) system to capture the same signals from the patient‘s upper body movement. The key challenge in both of these experiments was to accu

incision

不理会

Joginder K. Malhotraccompaniment and vocals. Results show that our approach is very effective at reducing classification error on a separate validation set, and that the resulting training set selections either reduce classification error or require only a small fraction of training instances for comparable performance

GROVE

Biguanides

Interim

exhibit

Joginder K. Malhotra analyses is better when compared to empirical approaches. Moreover, the rise of . (CIS) that encapsulates the power of both—machine learning and deep learning—has allowed some successful applications in clinical cancer research with a quick and robust cancer prediction performance in patients at a