„… Ein-zeichnen von 2D-Bounding-Boxes zusätzliche Detektionen hin-zugefügt werden. 3.3 3D-Clustering …” „… Verfahrensschritte erheblich verkleinern. Mit „Efficient Ransac“ [19], einem intelligenten Clustering-Verfahren, wird …” „… Algorithmen zuverläs-sig genug sind (vergleiche ungelöste Probleme beim autonomen Fahren), kann der Anwender …”

„… L. A. Vese. A Level Set Algorithm For Minimizing The Mumford-Shah Functional in Image Processing …” „… . Elad, A. Bruckstein. K-SVD: An Algorithm For Designing Overcomplete Dictionaries for Sparse …” „… Spatial Fuzzy Clustering With Level Set Methods For Automated Medical Image Segmentation. ELSEVIER …”

„… level set, we propose to use the k-means clustering algorithm to initiate a volume of GM, WM, and CSF …” „… ( ∫ Ω(I(x)−u(x))2) in Eq. (5.3) is a k-mean clustering problem. Because the sparse representation can be inferred …” „… as a clustering problem[26], thus, the data term can be reformulated as 2 norm as explained in the …”

„… segmentation algorithm by considering the segmentation problem as clustering problem using regularized …” „… . Kohlberger et al. [59] proposed a multi-organ segmentation algorithm from CT medical images using …” „… segmentation methods [54]. Moreover, Bazin et al. [51] proposed multi-region segmentation algorithm of brain …”

„… algorithm using a dictionary learning approach. This part is applied to solve a multi-label brain tumor …” „… algorithms, types of tumors (primary or secondary), and the state of the disease (pre- or post-treatment) [39 …” „… automatic algorithm for brain tumor segmentation and tissue classification using a support vector machine …”

„… designing of automatic algorithms has become more urgent and widespread [10]. Medical imaging provides …” „… or semi-automatic algorithms to segment and detect anatomical organs, tumors, and other diseases …” „… . Developing such algorithms for medical image analysis requires comprehensive validation studies to make the …”

„… (Clustering) Zeitserienvorhersage VDI-Berichte Nr. 2347, 201972 Unüberwachtes Lernen Unüberwachtes Lernen …” „… unüberwachten Lernens sind erstens Segmentierung, auch Clustering, genannt. Die Segmentierung fasst einander …” „… übertroffen. Als Klassifikatoren werden die in Tabelle 2 aufgeführten Algorithmen zur Evaluation herangezogen …”

„… nodes. The nodes themselves have been placed by the corner detection algorithm, which uses a rectangular …” „… the RANSAC algorithm from Chapter 2.7.3. Instead, in this work it is proposed to identify the …” „… constraint) between the feature vector and the border of the cluster are both small enough. As the algorithm …”

„… displacements to the prediction. Additionally, a second new clustering based moving object and outlier detector …” „… . Concerning the improvement of the pixel-based detection by background subtraction algorithms, Chapter 4 …” „… introduces a new locally adaptive global motion compensation algorithm based on triangle meshes to replace …”

„… research done and many algorithms are available. Most of them are based on background subtraction. One …” „… be estimated and compensated before applying the change detection algorithm (Figure 1.1). As the …” „… classifier based on motion vector clustering is introduced. As a benefit, it does not rely on any a prior …”

„… Matching Algorithm CCD Charge-Coupled Device CMOS Complementary Metal-Oxide Semiconductor CRF Corner …” „… cameras. For this reason, an additional detector based on the clustering of frame to frame displacements …”

„… and the other one is zero. These properties are used in the eight-point algorithm presented by Higgins …” „… more common. To estimate the F-matrix, the same eight-point algorithm is usable with the constraints …” „… eight-point algorithm. Hereby the image coordinates are transformed independently into a new coordinate system …”

„… eight impact location groups. 2.6 Treatment simulations to predict future crashes, clustering and …” „… thresholds. These values were used to describe the predicted crashes using clustering. Clustering methods …” „… clustered. The k-medoid clustering method was preferred over the k-means method, as it gives an existing …”