Loza, A.
* Effect of Pixel-Level Fusion on Object Tracking in Multi-Sensor Surveillance Video, The
Lozano Albalate, M.T.
* Perception planning for an exploration task of a 3D environment
Lozano Perez, T.
* Automated Registration for Visualization in Surgery
* Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* Automatic Tube Inspection System That Finds Cylinders in Range Data, An
* Dense Depth Maps from Epipolar Images
* Dense Surface Patches from Thousands of Pose Iamges
* Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery
* Finding Cylinders in Range Data
* Forest of Sensors, A
* Framework for Learning Query Concepts in Image Classification, A
* HANDEY: A Robot Task Planner
* Localizing Overlapping Parts by Searching the Interpretation Tree
* Matching Interest Points Using Affine Invariant Concentric Circles
* Model-Based Recognition and Localization from Sparse Range Data
* Model-Based Recognition and Localization from Sparse Range or Tactile Data
* Object Recognition by Computer: The Role of Geometric Constraints
* Parsing Intensity Profiles
* Recognition and Localization of Overlapping Parts from Sparse Data
* Recognizing 3D Objects Using Constrained Search
* Simple Motion-Planning Algorithm for General Robot Manipulators, A
* Spatial Planning: A Configuration Space Approach
* Subdivision Algorithm in Configuration Space for Findpath with Rotation, A
* Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane
* Task-Level Planning of Pick-and-Place Robot Motions
* Virtual Training for Multi-View Object Class Recognition
Includes: Lozano Perez, T. Lozano-Perez, T. Lozano-Perez, T.[Thomas] Lozano-Perez, T.[Tomas]
24 for Lozano Perez, T.
Lozano, J.A.
* Applying genetic algorithms to search for the best hierarchical clustering of a dataset
* Bayesian Model Averaging of Naive Bayes for Clustering
* Convergence Properties of High-Order Boltzmann Machines
* Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks
* empirical comparison of four initialization methods for the K-Means algorithm, An
* improved Bayesian structural EM algorithm for learning Bayesian networks for clustering, An
* Learning Bayesian classifiers from positive and unlabeled examples
* Learning Bayesian networks for clustering by means of constructive induction
Includes: Lozano, J.A. Lozano, J.A.[Jose Antonio] Lozano, J.A.[Jose A.]
8 for Lozano, J.A.
Lozano, M.[Manuel]
* Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
* Stratification for scaling up evolutionary prototype selection
Lozano, M.A.[Miguel A.]
* Constellations and the Unsupervised Learning of Graphs
* Graph-Based Methods for Retinal Mosaicing and Vascular Characterization
* Protein classification by matching and clustering surface graphs
Includes: Lozano, M.A.[Miguel A.] Lozano, M.A.[Miguel Angel] Lozano, M.A.
Lozano, N.[Narcis]
* Platform to Extract Knowledge from Graphic Documents. Application to an Architectural Sketch Understanding Scenario, A
Includes: Lozano, N.[Narcis] Lozano, N.[Narcís]
Lozano, R.[Rafael]
* Dynamic Video Abstract Generation using an object DBMS
Lozano, V.[Vincent]
* Color Object Detection Using Pyramidal Adjacency Graphs
Lozinskii, E.
* On a Conceptual Description of Images
* Semantic Thresholding
Lozzi, A.
* Recognition and Inspection of Manufactured Parts Using Line Moments of Their Boundaries
* Recognition and Inspection of Two-Dimensional Industrial Parts Using Subpolygons
* Transformation Independent Recognition of 2-D Industrial Parts