20 research outputs found

    The “Renewed†Kibbutz

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    Over the years, the unique form of cooperative settlement known as a Kibbutz, has had to undergo various difficulties and changes, yet it has managed to maintain its principles and survive. However, during the last decade, many kibbutzim have made substantial changes which contradict traditional Kibbutz ideology. This article is based on the report of the Public Committee for the kibbutzim, established in 2002 to recommend a new legal definition befitting the development that took place in the kibbutzim in the last decades. The Committee was also asked to submit its opinion on the issue of allocating apartments to kibbutz members. The article describes the inevitable changes that have occurred and analyzes the reasons and considerations that have led to the creation of a new form of Kibbutz.Agribusiness,

    The “Renewed” Kibbutz

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    Over the years, the unique form of cooperative settlement known as a Kibbutz, has had to undergo various difficulties and changes, yet it has managed to maintain its principles and survive. However, during the last decade, many kibbutzim have made substantial changes which contradict traditional Kibbutz ideology. This article is based on the report of the Public Committee for the kibbutzim, established in 2002 to recommend a new legal definition befitting the development that took place in the kibbutzim in the last decades. The Committee was also asked to submit its opinion on the issue of allocating apartments to kibbutz members. The article describes the inevitable changes that have occurred and analyzes the reasons and considerations that have led to the creation of a new form of Kibbutz

    Approximate nearest subspace search with applications to pattern recognition

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    Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from their use is – given a query image portion represented as a point in some high dimensional space – find a subspace near to the query. This paper presents an efficient solution to the approximate nearest subspace problem for both linear and affine subspaces. Our method is based on a simple reduction to the problem of nearest point search, and can thus employ tree based search or locality sensitive hashing to find a near subspace. Further speedup may be achieved by using random projections to lower the dimensionality of the problem. We provide theoretical proofs of correctness and error bounds of our construction and demonstrate its capabilities on synthetic and real data. Our experiments demonstrate that an approximate nearest subspace can be located significantly faster than the exact nearest subspace, while at the same time it can find better matches compared to a similar search on points, in the presence of variations due to viewpoint, lighting etc. 1

    A General Framework for Approximate Nearest Subspace Search

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    Abstract. Subspaces offer convenient means of representing information in many Pattern Recognition, Machine Vision, and Statistical Learning applications. Contrary to the growing popularity of subspace representations, the problem of efficiently searching through large subspace databases has received little attention in the past. In this paper we present a general solution to the Approximate Nearest Subspace search problem. Our solution uniformly handles cases where both query and database elements may differ in dimensionality, where the database contains subspaces of different dimensions, and where the queries themselves may be subspaces. To this end we present a simple mapping from subspaces to points, thus reducing the problem to the well studied Approximate Nearest Neighbor problem on points. We provide theoretical proofs of correctness and error bounds of our construction and demonstrate its capabilities on synthetic and real data. Our experiments indicate that an approximate nearest subspace can be located significantly faster than the nearest subspace, with little loss of accuracy.

    Profiling the Planetary Boundary Layer Wind with a StreamLine XR Doppler LiDAR: Comparison to In-Situ Observations and WRF Model Simulations

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    Halo-Photonics StreamLine XR Doppler LiDAR measurements are performed using several scan configurations (Velocity Azimuth Display-VAD and Doppler Beam Swing-DBS) and elevation angles of 60° and 80°. The measurements are compared to wind observations conducted by various in situ instruments (tethered balloon, meteorological mast, and radiosondes). Good agreement is obtained, with R2 over 0.90 for wind speed and a standard error ≤ 18.6° for wind direction. The best performance was attained for lower elevation scans (60°), which is consistent with the higher spatial horizontal homogeneity exhibited by lower angle scans. VAD and DBS scans performed almost equally well with slight advantage for VAD in higher altitudes and for DBS for lower altitudes. The boundary layer structure along a diurnal cycle is analyzed by utilizing retrieved backscatter data and wind measurements in conjunction with Weather Research and Forecast (WRF) simulations. The presence of multiple inversions which allow the coexistence of different layers within the studied profile is also verified using data acquired by several radiosondes. Synergic use of LiDAR data with WRF simulations for low SNR regions is demonstrated
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