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The note is a review of studies of the shear coefficient K occurring in Timoshenko's differential equation for flexural vibrations of beams. Expressions of K hitherto proposed for circular and rectangular cross sections are tabulated, together with new expressions hitherto overlooked and unknown, and compared with one another. It is pointed out that the expressions of K=(6+12 sigma +6 sigma 2)/(7+12 sigma +4 sigma 2) for the circle and K=(5+5 sigma )/(6+5 sigma ) for the rectangle, where sigma is Poisson's ratio, which have been found in Timoshenko's (1922) paper, will be the most probable ones at the present stage of theories and experiments.

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The proposed method shows a novel architecture to perform real-time monocular depth estimation without losing patient specificity in bronchoscopy. Future work will include integration within SLAM systems and collection of in vivo datasets.

Abstract-This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential Forward Selection at each stage of the boosting process. The selected feature co-occurrences are capable of extracting structural similarities of target objects leading to better performance. The proposed method is a generalization of the framework proposed by Viola and Jones, where each weak classifier depends only on a single feature. Experimental results obtained using four object detectors, for finding faces and three different hand poses, respectively, show that detectors trained with the proposed algorithm yield consistently higher detection rates than those based on their framework while using the same number of features.